import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import operator
import csv
import seaborn as sns
from pandas.plotting import register_matplotlib_converters
from sklearn.impute import SimpleImputer

%matplotlib inline
import ipynb.fs.defs.functions as func

CORRELATION_THRESHOLD = 0.5
register_matplotlib_converters()
pd.set_option('display.max_columns', 500)
pd.set_option('display.width', 1000)

data = pd.read_csv('pd_speech_features.csv', sep=",", decimal='.', header=[0,1])
data.head(5)

# Rename the columns for a more appealing view
prev_col_name = ''
column_names = []
for c in data.columns:
    if not c[0].startswith('Unnamed'):
        prev_col_name = c[0]
    column_names.append(f'{prev_col_name}-{c[1]}')
column_names[-1] = 'class'
data.columns = column_names

data.head()

Normalize variables¶

for c in data.columns[2:-1]:
    data[c] = (data[c] - data[c].mean()) / data[c].std()
data.head()

Single Variable Analysis¶

# Top variables with missing values:
mv = {}
for var in data:
    mv[var] = data[var].isna().sum()

top_missing = sorted(mv.items(), key=operator.itemgetter(1), reverse=True)
if any([nb_missing for nb_missing in mv.values()]):
    print(top_missing)
else:
    print('No missing values in the whole dataset!')

No missing values in the whole dataset!

# Very informative...
data.describe()

y = data[['class']]

target_count = pd.value_counts(y.values.flatten())
plt.figure()
plt.title('Class balance')
plt.bar(target_count.index, target_count.values)
plt.show()

min_class = target_count.idxmin()
ind_min_class = target_count.index.get_loc(min_class)

print('Minority class:', target_count[ind_min_class])
print('Majority class:', target_count[1-ind_min_class])
print('Proportion:', round(target_count[ind_min_class] / target_count[1-ind_min_class], 2), ': 1')

Minority class: 564
Majority class: 192
Proportion: 2.94 : 1

As we don't know much about the variables and it's would be almost impossible to analyze the behaviour of all the 755 variables let's select some important ones and do exploratory analysis on them¶

Let's explore the correlation between those variables and remove some that are very correlated within the classes¶

def get_important_column_names(df, correlation_threshold=0):
    superclasses = list(dict.fromkeys([c.split('-')[0] for c in df.columns]))
    groups = {c: [] for c in superclasses}
    for c in df.columns:
        groups[c.split('-')[0]].append(c)
    
    important_columns = []
    for i, (group_name, columns) in enumerate(groups.items()):
        corr_matrix = df[columns].corr().abs()                                               # Calculate the correlation within group
        upper = corr_matrix.where(np.triu(np.ones(corr_matrix.shape), k=1).astype(np.bool))  # Select upper triangle of correlation matrix
        to_drop = [column for column in upper.columns if any(upper[column] > correlation_threshold)]
        to_keep = list(set(columns) - set(to_drop))
        important_columns += to_keep
        
        # Plot the correlation
        if i == 0 or i == len(groups.values()) - 1 or len(columns) > 10:
            continue
        fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(12, 30))
        axes[0].set_title(f'In-group correlation for {group_name}')
        sns.heatmap(corr_matrix, ax=axes[0], xticklabels=corr_matrix.columns, yticklabels=corr_matrix.columns, annot=True, cmap='Blues', square=True)
        
        corr_matrix = df[to_keep].corr().abs()
        axes[1].set_title('Correlation between the kept variables')
        sns.heatmap(corr_matrix, ax=axes[1], xticklabels=corr_matrix.columns, yticklabels=corr_matrix.columns, annot=True, cmap='Blues', square=True)
        
        fig.tight_layout()
        plt.show()
    return important_columns


importants = get_important_column_names(data, correlation_threshold=CORRELATION_THRESHOLD)
importants = data[importants]
print(importants.shape)
importants.head()

(756, 172)

columns = importants.select_dtypes(include='number').columns
rows, cols = func.choose_grid(len(columns))
plt.figure()
fig, axs = plt.subplots(rows, cols, figsize=(cols*4, rows*4), squeeze=False)
i, j = 0, 0
for n in range(len(columns)):
    axs[i, j].set_title('Boxplot for %s'%columns[n])
    axs[i, j].boxplot(data[columns[n]].dropna().values)
    i, j = (i + 1, 0) if (n+1) % cols == 0 else (i, j + 1)
fig.tight_layout()
plt.show()

<Figure size 432x288 with 0 Axes>

columns = importants.select_dtypes(include='number').columns
rows, cols = func.choose_grid(len(columns))
plt.figure()
fig, axs = plt.subplots(rows, cols, figsize=(cols*4, rows*4), squeeze=False)
i, j = 0, 0
for n in range(len(columns)):
    axs[i, j].set_xlabel(columns[n])
    axs[i, j].set_ylabel("probability")
    axs[i, j].hist(data[columns[n]].dropna().values, 'auto')
    i, j = (i + 1, 0) if (n+1) % cols == 0 else (i, j + 1)
fig.tight_layout()
plt.show()

<Figure size 432x288 with 0 Axes>

import scipy.stats as _stats 
def compute_known_distributions(x_values, n_bins) -> dict:
    distributions = dict()
    # Gaussian
    mean, sigma = _stats.norm.fit(x_values)
    distributions['Normal(%.1f,%.2f)'%(mean,sigma)] = _stats.norm.pdf(x_values, mean, sigma)
    # LogNorm
  #  sigma, loc, scale = _stats.lognorm.fit(x_values)
  #  distributions['LogNor(%.1f,%.2f)'%(np.log(scale),sigma)] = _stats.lognorm.pdf(x_values, sigma, loc, scale)
    # Exponential
    loc, scale = _stats.expon.fit(x_values)
    distributions['Exp(%.2f)'%(1/scale)] = _stats.expon.pdf(x_values, loc, scale)
    # SkewNorm
   # a, loc, scale = _stats.skewnorm.fit(x_values)
   # distributions['SkewNorm(%.2f)'%a] = _stats.skewnorm.pdf(x_values, a, loc, scale) 
    return distributions

def histogram_with_distributions(ax: plt.Axes, series: pd.Series, var: str):
    values = series.sort_values().values
    n, bins, patches = ax.hist(values, 20, density=True, edgecolor='grey')
    distributions = compute_known_distributions(values, bins)
    func.multiple_line_chart(ax, values, distributions, 'Best fit for %s'%var, var, 'probability')

columns = importants.select_dtypes(include='number').columns
rows, cols = func.choose_grid(len(columns))
plt.figure()
fig, axs = plt.subplots(rows, cols, figsize=(cols*4, rows*4), squeeze=False)
i, j = 0, 0
for n in range(len(columns)):
    histogram_with_distributions(axs[i, j], data[columns[n]].dropna(), columns[n])
    i, j = (i + 1, 0) if (n+1) % cols == 0 else (i, j + 1)
fig.tight_layout()
plt.show()

<Figure size 432x288 with 0 Axes>

Multi-Variate Analysis¶

Again, as the dataset is too large in terms of the number of columns, we will concentrate on the variables that are important based the previous findings¶

columns = importants.select_dtypes(include='number').columns

if len(columns) < 30:
    rows, cols = len(columns)-1, len(columns)-1
    plt.figure()
    fig, axs = plt.subplots(rows, cols, figsize=(cols*4, rows*4), squeeze=False)
    for i in range(len(columns)):
        var1 = columns[i]
        for j in range(i+1, len(columns)):
            var2 = columns[j]
            axs[i, j-1].set_title("%s x %s"%(var1,var2))
            axs[i, j-1].set_xlabel(var1)
            axs[i, j-1].set_ylabel(var2)
            axs[i, j-1].scatter(data[var1], data[var2])
    fig.tight_layout()
    plt.show()

if len(columns) < 30:
    fig = plt.figure(figsize=[12, 12])
    corr_mtx = importants.corr()
    sns.heatmap(corr_mtx, xticklabels=corr_mtx.columns, yticklabels=corr_mtx.columns, annot=True, cmap='Blues')
    plt.title('Correlation analysis')
    plt.show()

Classification¶

from sklearn import metrics
from sklearn.model_selection import train_test_split
from sklearn.tree import DecisionTreeClassifier
from sklearn.neighbors import KNeighborsClassifier
from sklearn.ensemble import RandomForestClassifier
from sklearn.naive_bayes import GaussianNB, MultinomialNB, BernoulliNB
from sklearn.utils.class_weight import compute_class_weight

0. Data split and class weight calculation¶

X = importants.loc[:, ~importants.columns.isin(['class'])]
y = importants.loc[:, importants.columns.isin(['class'])]
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)
class_weight = compute_class_weight(class_weight='balanced', classes=np.unique(y_train), y=y_train.values.flatten())
print('Class weights:', class_weight)

Class weights: [2.01908397 0.66457286]

1. Naive bayes¶

clf = GaussianNB()
clf.fit(X_train, y_train.values.flatten())
y_pred = clf.predict(X_test)
print(metrics.classification_report(y_test, y_pred))
print('Accuracy:', metrics.accuracy_score(y_test, y_pred))
print('ROC AUC:', metrics.roc_auc_score(y_test, y_pred))
cnf_mtx = metrics.confusion_matrix(y_test, y_pred)
sns.heatmap(cnf_mtx, annot=True, cmap='Blues', fmt='g')

              precision    recall  f1-score   support

           0       0.59      0.59      0.59        61
           1       0.85      0.85      0.85       166

   micro avg       0.78      0.78      0.78       227
   macro avg       0.72      0.72      0.72       227
weighted avg       0.78      0.78      0.78       227

Accuracy: 0.7797356828193832
ROC AUC: 0.7197807623938376

<matplotlib.axes._subplots.AxesSubplot at 0x203953990>

2. KNN¶

from sklearn.neighbors import KNeighborsClassifier

nvalues = [1, 3, 5, 7, 9, 11, 13, 15, 17, 19]
dist = ['manhattan', 'euclidean', 'chebyshev']
plt.figure()
fig, axs = plt.subplots(1, 3, figsize=(16, 4), squeeze=False)

acc, auc, precision = {}, {}, {}
for d in dist:
    acc[d], auc[d], precision[d] = [], [], []
    for n in nvalues:
        knn = KNeighborsClassifier(n_neighbors=n, metric=d)
        knn.fit(X_train, y_train.values.flatten())
        y_pred = knn.predict(X_test)
        acc[d].append(metrics.accuracy_score(y_test, y_pred))
        auc[d].append(metrics.roc_auc_score(y_test, y_pred))
        precision[d].append(metrics.precision_score(y_test, y_pred))

plt.figure()
func.multiple_line_chart(axs[0, 0], nvalues, acc, 'KNN variants', 'n', 'accuracy', percentage=True)
func.multiple_line_chart(axs[0, 1], nvalues, auc, 'KNN variants', 'n', 'ROC AUC', percentage=True)
func.multiple_line_chart(axs[0, 2], nvalues, precision, 'KNN variants', 'n', 'Precision', percentage=True)
plt.show()

<Figure size 432x288 with 0 Axes>

<Figure size 432x288 with 0 Axes>

3. Decision Tree¶

min_samples_leaf = [.05, .025, .01, .0075, .005, .0025, .001]
max_depths = [5, 10, 25, 50]
criteria = ['entropy', 'gini']

plt.figure()
fig, axs = plt.subplots(3, 2, figsize=(16, 16), squeeze=False)
for k in range(len(criteria)):
    f = criteria[k]
    acc, auc, precision = {}, {}, {}

    for d in max_depths:
        acc[d], auc[d], precision[d] = [], [], []
        for n in min_samples_leaf:
            tree = DecisionTreeClassifier(min_samples_leaf=n, max_depth=d, criterion=f, class_weight='balanced')
            tree.fit(X_train, y_train)
            y_pred = tree.predict(X_test)
            acc[d].append(metrics.accuracy_score(y_test, y_pred))
            auc[d].append(metrics.roc_auc_score(y_test, y_pred))
            precision[d].append(metrics.precision_score(y_test, y_pred))
    func.multiple_line_chart(axs[0, k], min_samples_leaf, acc, 'Decision Trees with %s criteria'%f, 'nr estimators', 'accuracy', percentage=True)
    func.multiple_line_chart(axs[1, k], min_samples_leaf, auc, 'Decision Trees with %s criteria'%f, 'nr estimators', 'ROC AUC', percentage=True)
    func.multiple_line_chart(axs[2, k], min_samples_leaf, precision, 'Decision Trees with %s criteria'%f, 'nr estimators', 'precision', percentage=True)
    
plt.show()

<Figure size 432x288 with 0 Axes>

4. Random Forest¶

n_estimators = [5, 10, 25, 50, 75, 100, 150, 200, 250, 300]
max_depths = [5, 10, 25, 50]
max_features = ['sqrt', 'log2']

plt.figure()
fig, axs = plt.subplots(3, 2, figsize=(16, 16), squeeze=False)
for k in range(len(max_features)):
    f = max_features[k]
    acc, auc, precision = {}, {}, {}

    for d in max_depths:
        acc[d], auc[d], precision[d] = [], [], []
        for n in n_estimators:
            rf = RandomForestClassifier(n_estimators=n, max_depth=d, max_features=f, class_weight='balanced')
            rf.fit(X_train, y_train.values.flatten())
            y_pred = rf.predict(X_test)
            acc[d].append(metrics.accuracy_score(y_test, y_pred))
            auc[d].append(metrics.roc_auc_score(y_test, y_pred))
            precision[d].append(metrics.precision_score(y_test, y_pred))
    func.multiple_line_chart(axs[0, k], n_estimators, acc, 'Random Forests with %s features'%f, 'nr estimators', 'accuracy', percentage=True)
    func.multiple_line_chart(axs[1, k], n_estimators, auc, 'Random Forests with %s features'%f, 'nr estimators', 'ROC AUC', percentage=True)
    func.multiple_line_chart(axs[2, k], n_estimators, precision, 'Random Forests with %s features'%f, 'nr estimators', 'precision', percentage=True)
    
plt.show()

<Figure size 432x288 with 0 Axes>

5. xgboost¶

import xgboost as xgb

D_train = xgb.DMatrix(X_train, label=y_train)
D_test = xgb.DMatrix(X_test, label=y_test)

nb_steps = list(range(1, 20))
max_depth = [3, 5, 7]
plt.figure()
fig, axs = plt.subplots(1, 3, figsize=(16, 4), squeeze=False)

acc, auc, precision = {}, {}, {}
for d in max_depth:
    acc[d], auc[d], precision[d] = [], [], []
    for n in nb_steps:
        param = {
            'eta': 0.3, 
            'max_depth': d,  
            'objective': 'multi:softprob',  
            'num_class': 2
        } 
        model = xgb.train(param, D_train, n)
        preds = model.predict(D_test)
        y_pred = np.asarray([np.argmax(line) for line in preds])

        acc[d].append(metrics.accuracy_score(y_test, y_pred))
        auc[d].append(metrics.roc_auc_score(y_test, y_pred))
        precision[d].append(metrics.precision_score(y_test, y_pred))

plt.figure()
func.multiple_line_chart(axs[0, 0], nb_steps, acc, 'xgboost', 'steps', 'accuracy', percentage=True)
func.multiple_line_chart(axs[0, 1], nb_steps, auc, 'xgboost', 'steps', 'ROC AUC', percentage=True)
func.multiple_line_chart(axs[0, 2], nb_steps, precision, 'xgboost', 'steps', 'Precision', percentage=True)
plt.show()

<Figure size 432x288 with 0 Axes>

<Figure size 432x288 with 0 Axes>

Export the notebook¶

import os
os.system(f'jupyter nbconvert --output html_notebooks/project-threshold-{CORRELATION_THRESHOLD}.html --to html Project1.ipynb')

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241_level_0	Unnamed: 242_level_0	Unnamed: 243_level_0	Unnamed: 244_level_0	Unnamed: 245_level_0	Unnamed: 246_level_0	Unnamed: 247_level_0	Unnamed: 248_level_0	Unnamed: 249_level_0	...	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552_level_0	Unnamed: 553_level_0	Unnamed: 554_level_0	Unnamed: 555_level_0	Unnamed: 556_level_0	Unnamed: 557_level_0	Unnamed: 558_level_0	Unnamed: 559_level_0	Unnamed: 560_level_0	Unnamed: 561_level_0	Unnamed: 562_level_0	Unnamed: 563_level_0	Unnamed: 564_level_0	Unnamed: 565_level_0	Unnamed: 566_level_0	Unnamed: 567_level_0	Unnamed: 568_level_0	Unnamed: 569_level_0	Unnamed: 570_level_0	Unnamed: 571_level_0	Unnamed: 572_level_0	Unnamed: 573_level_0	Unnamed: 574_level_0	Unnamed: 575_level_0	Unnamed: 576_level_0	Unnamed: 577_level_0	Unnamed: 578_level_0	Unnamed: 579_level_0	Unnamed: 580_level_0	Unnamed: 581_level_0	Unnamed: 582_level_0	Unnamed: 583_level_0	Unnamed: 584_level_0	Unnamed: 585_level_0	Unnamed: 586_level_0	Unnamed: 587_level_0	Unnamed: 588_level_0	Unnamed: 589_level_0	Unnamed: 590_level_0	Unnamed: 591_level_0	Unnamed: 592_level_0	Unnamed: 593_level_0	Unnamed: 594_level_0	Unnamed: 595_level_0	Unnamed: 596_level_0	Unnamed: 597_level_0	Unnamed: 598_level_0	Unnamed: 599_level_0	Unnamed: 600_level_0	Unnamed: 601_level_0	Unnamed: 602_level_0	Unnamed: 603_level_0	Unnamed: 604_level_0	Unnamed: 605_level_0	Unnamed: 606_level_0	Unnamed: 607_level_0	Unnamed: 608_level_0	Unnamed: 609_level_0	Unnamed: 610_level_0	Unnamed: 611_level_0	Unnamed: 612_level_0	Unnamed: 613_level_0	Unnamed: 614_level_0	Unnamed: 615_level_0	Unnamed: 616_level_0	Unnamed: 617_level_0	Unnamed: 618_level_0	Unnamed: 619_level_0	Unnamed: 620_level_0	Unnamed: 621_level_0	Unnamed: 622_level_0	Unnamed: 623_level_0	Unnamed: 624_level_0	Unnamed: 625_level_0	Unnamed: 626_level_0	Unnamed: 627_level_0	Unnamed: 628_level_0	Unnamed: 629_level_0	Unnamed: 630_level_0	Unnamed: 631_level_0	Unnamed: 632_level_0	Unnamed: 633_level_0	Unnamed: 634_level_0	Unnamed: 635_level_0	Unnamed: 636_level_0	Unnamed: 637_level_0	Unnamed: 638_level_0	Unnamed: 639_level_0	Unnamed: 640_level_0	Unnamed: 641_level_0	Unnamed: 642_level_0	Unnamed: 643_level_0	Unnamed: 644_level_0	Unnamed: 645_level_0	Unnamed: 646_level_0	Unnamed: 647_level_0	Unnamed: 648_level_0	Unnamed: 649_level_0	Unnamed: 650_level_0	Unnamed: 651_level_0	Unnamed: 652_level_0	Unnamed: 653_level_0	Unnamed: 654_level_0	Unnamed: 655_level_0	Unnamed: 656_level_0	Unnamed: 657_level_0	Unnamed: 658_level_0	Unnamed: 659_level_0	Unnamed: 660_level_0	Unnamed: 661_level_0	Unnamed: 662_level_0	Unnamed: 663_level_0	Unnamed: 664_level_0	Unnamed: 665_level_0	Unnamed: 666_level_0	Unnamed: 667_level_0	Unnamed: 668_level_0	Unnamed: 669_level_0	Unnamed: 670_level_0	Unnamed: 671_level_0	Unnamed: 672_level_0	Unnamed: 673_level_0	Unnamed: 674_level_0	Unnamed: 675_level_0	Unnamed: 676_level_0	Unnamed: 677_level_0	Unnamed: 678_level_0	Unnamed: 679_level_0	Unnamed: 680_level_0	Unnamed: 681_level_0	Unnamed: 682_level_0	Unnamed: 683_level_0	Unnamed: 684_level_0	Unnamed: 685_level_0	Unnamed: 686_level_0	Unnamed: 687_level_0	Unnamed: 688_level_0	Unnamed: 689_level_0	Unnamed: 690_level_0	Unnamed: 691_level_0	Unnamed: 692_level_0	Unnamed: 693_level_0	Unnamed: 694_level_0	Unnamed: 695_level_0	Unnamed: 696_level_0	Unnamed: 697_level_0	Unnamed: 698_level_0	Unnamed: 699_level_0	Unnamed: 700_level_0	Unnamed: 701_level_0	Unnamed: 702_level_0	Unnamed: 703_level_0	Unnamed: 704_level_0	Unnamed: 705_level_0	Unnamed: 706_level_0	Unnamed: 707_level_0	Unnamed: 708_level_0	Unnamed: 709_level_0	Unnamed: 710_level_0	Unnamed: 711_level_0	Unnamed: 712_level_0	Unnamed: 713_level_0	Unnamed: 714_level_0	Unnamed: 715_level_0	Unnamed: 716_level_0	Unnamed: 717_level_0	Unnamed: 718_level_0	Unnamed: 719_level_0	Unnamed: 720_level_0	Unnamed: 721_level_0	Unnamed: 722_level_0	Unnamed: 723_level_0	Unnamed: 724_level_0	Unnamed: 725_level_0	Unnamed: 726_level_0	Unnamed: 727_level_0	Unnamed: 728_level_0	Unnamed: 729_level_0	Unnamed: 730_level_0	Unnamed: 731_level_0	Unnamed: 732_level_0	Unnamed: 733_level_0	Unnamed: 734_level_0	Unnamed: 735_level_0	Unnamed: 736_level_0	Unnamed: 737_level_0	Unnamed: 738_level_0	Unnamed: 739_level_0	Unnamed: 740_level_0	Unnamed: 741_level_0	Unnamed: 742_level_0	Unnamed: 743_level_0	Unnamed: 744_level_0	Unnamed: 745_level_0	Unnamed: 746_level_0	Unnamed: 747_level_0	Unnamed: 748_level_0	Unnamed: 749_level_0	Unnamed: 750_level_0	Unnamed: 751_level_0	Unnamed: 752_level_0	Unnamed: 753_level_0	Unnamed: 754_level_0
	id	gender	PPE	DFA	RPDE	numPulses	numPeriodsPulses	meanPeriodPulses	stdDevPeriodPulses	locPctJitter	locAbsJitter	rapJitter	ppq5Jitter	ddpJitter	locShimmer	locDbShimmer	apq3Shimmer	apq5Shimmer	apq11Shimmer	ddaShimmer	meanAutoCorrHarmonicity	meanNoiseToHarmHarmonicity	meanHarmToNoiseHarmonicity	minIntensity	maxIntensity	meanIntensity	f1	f2	f3	f4	b1	b2	b3	b4	GQ_prc5_95	GQ_std_cycle_open	GQ_std_cycle_closed	GNE_mean	GNE_std	GNE_SNR_TKEO	GNE_SNR_SEO	GNE_NSR_TKEO	GNE_NSR_SEO	VFER_mean	VFER_std	VFER_entropy	VFER_SNR_TKEO	VFER_SNR_SEO	VFER_NSR_TKEO	VFER_NSR_SEO	IMF_SNR_SEO	IMF_SNR_TKEO	IMF_SNR_entropy	IMF_NSR_SEO	IMF_NSR_TKEO	IMF_NSR_entropy	mean_Log_energy	mean_MFCC_0th_coef	mean_MFCC_1st_coef	mean_MFCC_2nd_coef	mean_MFCC_3rd_coef	mean_MFCC_4th_coef	mean_MFCC_5th_coef	mean_MFCC_6th_coef	mean_MFCC_7th_coef	mean_MFCC_8th_coef	mean_MFCC_9th_coef	mean_MFCC_10th_coef	mean_MFCC_11th_coef	mean_MFCC_12th_coef	mean_delta_log_energy	mean_0th_delta	mean_1st_delta	mean_2nd_delta	mean_3rd_delta	mean_4th_delta	mean_5th_delta	mean_6th_delta	mean_7th_delta	mean_8th_delta	mean_9th_delta	mean_10th_delta	mean_11th_delta	mean_12th_delta	mean_delta_delta_log_energy	mean_delta_delta_0th	mean_1st_delta_delta	mean_2nd_delta_delta	mean_3rd_delta_delta	mean_4th_delta_delta	mean_5th_delta_delta	mean_6th_delta_delta	mean_7th_delta_delta	mean_8th_delta_delta	mean_9th_delta_delta	mean_10th_delta_delta	mean_11th_delta_delta	mean_12th_delta_delta	std_Log_energy	std_MFCC_0th_coef	std_MFCC_1st_coef	std_MFCC_2nd_coef	std_MFCC_3rd_coef	std_MFCC_4th_coef	std_MFCC_5th_coef	std_MFCC_6th_coef	std_MFCC_7th_coef	std_MFCC_8th_coef	std_MFCC_9th_coef	std_MFCC_10th_coef	std_MFCC_11th_coef	std_MFCC_12th_coef	std_delta_log_energy	std_0th_delta	std_1st_delta	std_2nd_delta	std_3rd_delta	std_4th_delta	std_5th_delta	std_6th_delta	std_7th_delta	std_8th_delta	std_9th_delta	std_10th_delta	std_11th_delta	std_12th_delta	std_delta_delta_log_energy	std_delta_delta_0th	std_1st_delta_delta	std_2nd_delta_delta	std_3rd_delta_delta	std_4th_delta_delta	std_5th_delta_delta	std_6th_delta_delta	std_7th_delta_delta	std_8th_delta_delta	std_9th_delta_delta	std_10th_delta_delta	std_11th_delta_delta	std_12th_delta_delta	Ea	Ed_1_coef	Ed_2_coef	Ed_3_coef	Ed_4_coef	Ed_5_coef	Ed_6_coef	Ed_7_coef	Ed_8_coef	Ed_9_coef	Ed_10_coef	det_entropy_shannon_1_coef	det_entropy_shannon_2_coef	det_entropy_shannon_3_coef	det_entropy_shannon_4_coef	det_entropy_shannon_5_coef	det_entropy_shannon_6_coef	det_entropy_shannon_7_coef	det_entropy_shannon_8_coef	det_entropy_shannon_9_coef	det_entropy_shannon_10_coef	det_entropy_log_1_coef	det_entropy_log_2_coef	det_entropy_log_3_coef	det_entropy_log_4_coef	det_entropy_log_5_coef	det_entropy_log_6_coef	det_entropy_log_7_coef	det_entropy_log_8_coef	det_entropy_log_9_coef	det_entropy_log_10_coef	det_TKEO_mean_1_coef	det_TKEO_mean_2_coef	det_TKEO_mean_3_coef	det_TKEO_mean_4_coef	det_TKEO_mean_5_coef	det_TKEO_mean_6_coef	det_TKEO_mean_7_coef	det_TKEO_mean_8_coef	det_TKEO_mean_9_coef	det_TKEO_mean_10_coef	det_TKEO_std_1_coef	det_TKEO_std_2_coef	det_TKEO_std_3_coef	det_TKEO_std_4_coef	det_TKEO_std_5_coef	det_TKEO_std_6_coef	det_TKEO_std_7_coef	det_TKEO_std_8_coef	det_TKEO_std_9_coef	det_TKEO_std_10_coef	app_entropy_shannon_1_coef	app_entropy_shannon_2_coef	app_entropy_shannon_3_coef	app_entropy_shannon_4_coef	app_entropy_shannon_5_coef	app_entropy_shannon_6_coef	app_entropy_shannon_7_coef	app_entropy_shannon_8_coef	app_entropy_shannon_9_coef	app_entropy_shannon_10_coef	app_entropy_log_1_coef	app_entropy_log_2_coef	app_entropy_log_3_coef	app_entropy_log_4_coef	app_entropy_log_5_coef	app_entropy_log_6_coef	app_entropy_log_7_coef	app_entropy_log_8_coef	app_entropy_log_9_coef	app_entropy_log_10_coef	app_det_TKEO_mean_1_coef	app_det_TKEO_mean_2_coef	app_det_TKEO_mean_3_coef	app_det_TKEO_mean_4_coef	app_det_TKEO_mean_5_coef	app_det_TKEO_mean_6_coef	app_det_TKEO_mean_7_coef	app_det_TKEO_mean_8_coef	app_det_TKEO_mean_9_coef	app_det_TKEO_mean_10_coef	app_TKEO_std_1_coef	app_TKEO_std_2_coef	app_TKEO_std_3_coef	app_TKEO_std_4_coef	app_TKEO_std_5_coef	app_TKEO_std_6_coef	app_TKEO_std_7_coef	app_TKEO_std_8_coef	app_TKEO_std_9_coef	app_TKEO_std_10_coef	Ea2	Ed2_1_coef	Ed2_2_coef	Ed2_3_coef	Ed2_4_coef	Ed2_5_coef	Ed2_6_coef	Ed2_7_coef	Ed2_8_coef	Ed2_9_coef	Ed2_10_coef	det_LT_entropy_shannon_1_coef	det_LT_entropy_shannon_2_coef	det_LT_entropy_shannon_3_coef	det_LT_entropy_shannon_4_coef	det_LT_entropy_shannon_5_coef	det_LT_entropy_shannon_6_coef	det_LT_entropy_shannon_7_coef	det_LT_entropy_shannon_8_coef	...	tqwt_medianValue_dec_4	tqwt_medianValue_dec_5	tqwt_medianValue_dec_6	tqwt_medianValue_dec_7	tqwt_medianValue_dec_8	tqwt_medianValue_dec_9	tqwt_medianValue_dec_10	tqwt_medianValue_dec_11	tqwt_medianValue_dec_12	tqwt_medianValue_dec_13	tqwt_medianValue_dec_14	tqwt_medianValue_dec_15	tqwt_medianValue_dec_16	tqwt_medianValue_dec_17	tqwt_medianValue_dec_18	tqwt_medianValue_dec_19	tqwt_medianValue_dec_20	tqwt_medianValue_dec_21	tqwt_medianValue_dec_22	tqwt_medianValue_dec_23	tqwt_medianValue_dec_24	tqwt_medianValue_dec_25	tqwt_medianValue_dec_26	tqwt_medianValue_dec_27	tqwt_medianValue_dec_28	tqwt_medianValue_dec_29	tqwt_medianValue_dec_30	tqwt_medianValue_dec_31	tqwt_medianValue_dec_32	tqwt_medianValue_dec_33	tqwt_medianValue_dec_34	tqwt_medianValue_dec_35	tqwt_medianValue_dec_36	tqwt_meanValue_dec_1	tqwt_meanValue_dec_2	tqwt_meanValue_dec_3	tqwt_meanValue_dec_4	tqwt_meanValue_dec_5	tqwt_meanValue_dec_6	tqwt_meanValue_dec_7	tqwt_meanValue_dec_8	tqwt_meanValue_dec_9	tqwt_meanValue_dec_10	tqwt_meanValue_dec_11	tqwt_meanValue_dec_12	tqwt_meanValue_dec_13	tqwt_meanValue_dec_14	tqwt_meanValue_dec_15	tqwt_meanValue_dec_16	tqwt_meanValue_dec_17	tqwt_meanValue_dec_18	tqwt_meanValue_dec_19	tqwt_meanValue_dec_20	tqwt_meanValue_dec_21	tqwt_meanValue_dec_22	tqwt_meanValue_dec_23	tqwt_meanValue_dec_24	tqwt_meanValue_dec_25	tqwt_meanValue_dec_26	tqwt_meanValue_dec_27	tqwt_meanValue_dec_28	tqwt_meanValue_dec_29	tqwt_meanValue_dec_30	tqwt_meanValue_dec_31	tqwt_meanValue_dec_32	tqwt_meanValue_dec_33	tqwt_meanValue_dec_34	tqwt_meanValue_dec_35	tqwt_meanValue_dec_36	tqwt_stdValue_dec_1	tqwt_stdValue_dec_2	tqwt_stdValue_dec_3	tqwt_stdValue_dec_4	tqwt_stdValue_dec_5	tqwt_stdValue_dec_6	tqwt_stdValue_dec_7	tqwt_stdValue_dec_8	tqwt_stdValue_dec_9	tqwt_stdValue_dec_10	tqwt_stdValue_dec_11	tqwt_stdValue_dec_12	tqwt_stdValue_dec_13	tqwt_stdValue_dec_14	tqwt_stdValue_dec_15	tqwt_stdValue_dec_16	tqwt_stdValue_dec_17	tqwt_stdValue_dec_18	tqwt_stdValue_dec_19	tqwt_stdValue_dec_20	tqwt_stdValue_dec_21	tqwt_stdValue_dec_22	tqwt_stdValue_dec_23	tqwt_stdValue_dec_24	tqwt_stdValue_dec_25	tqwt_stdValue_dec_26	tqwt_stdValue_dec_27	tqwt_stdValue_dec_28	tqwt_stdValue_dec_29	tqwt_stdValue_dec_30	tqwt_stdValue_dec_31	tqwt_stdValue_dec_32	tqwt_stdValue_dec_33	tqwt_stdValue_dec_34	tqwt_stdValue_dec_35	tqwt_stdValue_dec_36	tqwt_minValue_dec_1	tqwt_minValue_dec_2	tqwt_minValue_dec_3	tqwt_minValue_dec_4	tqwt_minValue_dec_5	tqwt_minValue_dec_6	tqwt_minValue_dec_7	tqwt_minValue_dec_8	tqwt_minValue_dec_9	tqwt_minValue_dec_10	tqwt_minValue_dec_11	tqwt_minValue_dec_12	tqwt_minValue_dec_13	tqwt_minValue_dec_14	tqwt_minValue_dec_15	tqwt_minValue_dec_16	tqwt_minValue_dec_17	tqwt_minValue_dec_18	tqwt_minValue_dec_19	tqwt_minValue_dec_20	tqwt_minValue_dec_21	tqwt_minValue_dec_22	tqwt_minValue_dec_23	tqwt_minValue_dec_24	tqwt_minValue_dec_25	tqwt_minValue_dec_26	tqwt_minValue_dec_27	tqwt_minValue_dec_28	tqwt_minValue_dec_29	tqwt_minValue_dec_30	tqwt_minValue_dec_31	tqwt_minValue_dec_32	tqwt_minValue_dec_33	tqwt_minValue_dec_34	tqwt_minValue_dec_35	tqwt_minValue_dec_36	tqwt_maxValue_dec_1	tqwt_maxValue_dec_2	tqwt_maxValue_dec_3	tqwt_maxValue_dec_4	tqwt_maxValue_dec_5	tqwt_maxValue_dec_6	tqwt_maxValue_dec_7	tqwt_maxValue_dec_8	tqwt_maxValue_dec_9	tqwt_maxValue_dec_10	tqwt_maxValue_dec_11	tqwt_maxValue_dec_12	tqwt_maxValue_dec_13	tqwt_maxValue_dec_14	tqwt_maxValue_dec_15	tqwt_maxValue_dec_16	tqwt_maxValue_dec_17	tqwt_maxValue_dec_18	tqwt_maxValue_dec_19	tqwt_maxValue_dec_20	tqwt_maxValue_dec_21	tqwt_maxValue_dec_22	tqwt_maxValue_dec_23	tqwt_maxValue_dec_24	tqwt_maxValue_dec_25	tqwt_maxValue_dec_26	tqwt_maxValue_dec_27	tqwt_maxValue_dec_28	tqwt_maxValue_dec_29	tqwt_maxValue_dec_30	tqwt_maxValue_dec_31	tqwt_maxValue_dec_32	tqwt_maxValue_dec_33	tqwt_maxValue_dec_34	tqwt_maxValue_dec_35	tqwt_maxValue_dec_36	tqwt_skewnessValue_dec_1	tqwt_skewnessValue_dec_2	tqwt_skewnessValue_dec_3	tqwt_skewnessValue_dec_4	tqwt_skewnessValue_dec_5	tqwt_skewnessValue_dec_6	tqwt_skewnessValue_dec_7	tqwt_skewnessValue_dec_8	tqwt_skewnessValue_dec_9	tqwt_skewnessValue_dec_10	tqwt_skewnessValue_dec_11	tqwt_skewnessValue_dec_12	tqwt_skewnessValue_dec_13	tqwt_skewnessValue_dec_14	tqwt_skewnessValue_dec_15	tqwt_skewnessValue_dec_16	tqwt_skewnessValue_dec_17	tqwt_skewnessValue_dec_18	tqwt_skewnessValue_dec_19	tqwt_skewnessValue_dec_20	tqwt_skewnessValue_dec_21	tqwt_skewnessValue_dec_22	tqwt_skewnessValue_dec_23	tqwt_skewnessValue_dec_24	tqwt_skewnessValue_dec_25	tqwt_skewnessValue_dec_26	tqwt_skewnessValue_dec_27	tqwt_skewnessValue_dec_28	tqwt_skewnessValue_dec_29	tqwt_skewnessValue_dec_30	tqwt_skewnessValue_dec_31	tqwt_skewnessValue_dec_32	tqwt_skewnessValue_dec_33	tqwt_skewnessValue_dec_34	tqwt_skewnessValue_dec_35	tqwt_skewnessValue_dec_36	tqwt_kurtosisValue_dec_1	tqwt_kurtosisValue_dec_2	tqwt_kurtosisValue_dec_3	tqwt_kurtosisValue_dec_4	tqwt_kurtosisValue_dec_5	tqwt_kurtosisValue_dec_6	tqwt_kurtosisValue_dec_7	tqwt_kurtosisValue_dec_8	tqwt_kurtosisValue_dec_9	tqwt_kurtosisValue_dec_10	tqwt_kurtosisValue_dec_11	tqwt_kurtosisValue_dec_12	tqwt_kurtosisValue_dec_13	tqwt_kurtosisValue_dec_14	tqwt_kurtosisValue_dec_15	tqwt_kurtosisValue_dec_16	tqwt_kurtosisValue_dec_17	tqwt_kurtosisValue_dec_18	tqwt_kurtosisValue_dec_19	tqwt_kurtosisValue_dec_20	tqwt_kurtosisValue_dec_21	tqwt_kurtosisValue_dec_22	tqwt_kurtosisValue_dec_23	tqwt_kurtosisValue_dec_24	tqwt_kurtosisValue_dec_25	tqwt_kurtosisValue_dec_26	tqwt_kurtosisValue_dec_27	tqwt_kurtosisValue_dec_28	tqwt_kurtosisValue_dec_29	tqwt_kurtosisValue_dec_30	tqwt_kurtosisValue_dec_31	tqwt_kurtosisValue_dec_32	tqwt_kurtosisValue_dec_33	tqwt_kurtosisValue_dec_34	tqwt_kurtosisValue_dec_35	tqwt_kurtosisValue_dec_36	class
0	0	1	0.85247	0.71826	0.57227	240	239	0.008064	0.000087	0.00218	0.000018	0.00067	0.00129	0.00200	0.05883	0.517	0.03011	0.03496	0.04828	0.09034	0.970805	0.036223	18.995	69.997496	76.088046	72.465512	539.342735	1031.849040	2447.162183	3655.054806	101.092218	83.147440	255.214830	396.643631	0.77778	11.7245	2.8277	1.17300	0.26512	0.083127	1200445.612	1.5347	3.0152	0.000463	0.000260	0.83621	209.6062	455.9654	1.2825	1.3305	51.6843	5.7784	23.2610	0.26850	5.8573	0.20023	9.1817	11.4283	8.4781	2.4874	0.02292	0.55527	-1.6334	-1.51440	0.39725	0.61775	0.091821	0.54775	-0.006825	-0.672740	-0.001013	-0.000075	-0.003364	-0.000192	0.001357	-0.000900	-0.003002	0.001548	0.005187	-0.000205	-0.004737	0.002465	0.002514	-0.001187	-0.000179	-0.000828	-0.000498	0.001386	0.000173	-0.000286	0.000428	-0.000044	-0.000338	0.000430	0.000038	-0.000356	-0.000076	0.000027	0.34158	1.02790	0.65735	0.78036	0.30141	0.35418	0.19127	0.22892	0.33550	0.17101	0.28111	0.21511	0.16605	0.17762	0.049933	0.17226	0.089754	0.146270	0.040231	0.060808	0.030284	0.028830	0.042253	0.028115	0.047180	0.035775	0.020827	0.023057	0.016392	0.078800	0.043847	0.066410	0.021565	0.029594	0.015351	0.014642	0.019681	0.012829	0.021703	0.017089	0.010043	0.012130	99.9996	1.530000e-07	8.860000e-07	0.000007	0.000021	0.000102	0.000013	0.000041	0.000027	0.000010	0.000202	1.7166	5.5625	0.04894	-7.221920e+01	-8.669373e+02	-5.453350e+01	-3.199468e+02	-1.652570e+02	-4.297050e+01	-2.336364e+03	-779.1377	-290.2080	-78.3447	-10.7944	10.5089	-46.3816	-35.9347	-46.8515	-31.2923	-18.7456	0.002486	0.028150	0.32455	1.5948	7.7828	2.3013	5.66280	3.568300	2.03020	44.7582	0.005012	0.046228	0.68635	3.5072	26.1213	3.7358	15.28300	9.20280	4.78870	89.7670	-34415952.86	-41505780.29	-54991273.00	-7.977922e+07	-129684181.7	-232253303.7	-459058057.8	-902118385.7	-1.886559e+09	-3937753319	1116.2921	672.8105	445.4876	322.8542	262.2272	234.6861	231.9690	227.8718	238.2690	248.6663	572.1636	2023.8169	6477.7714	18923.0837	49173.8993	115701.9285	245931.5887	524800.1114	1.049747e+06	2101636.245	4181.8549	11092.1222	27917.7341	67151.7571	151463.1285	326874.1892	6.720895e+05	1381934.183	2777808.879	5547195.189	100.0000	6.590000e-09	3.860000e-08	3.250000e-07	9.050000e-07	0.000004	5.710000e-07	1.730000e-06	1.150000e-06	4.500000e-07	8.710000e-06	0.000338	0.001691	0.011168	0.026503	0.095478	0.016070	0.039222	0.029105	...	2.840000e-07	0.000000e+00	9.300000e-07	-1.270000e-07	-1.410000e-18	0.000009	-0.000002	-0.000031	-9.930000e-19	-5.560000e-18	0.000560	0.000010	0.000000	0.000000	-6.100000e-17	-0.000389	0.000000	3.810000e-17	6.150000e-17	6.740000e-17	0.000000	0.000000	-2.220000e-17	-0.013372	0.056236	0.000445	2.850000e-19	0.000140	-0.000084	-0.000169	-0.000202	-0.000043	-0.014320	-2.890000e-21	-3.770000e-21	1.700000e-22	-9.180000e-22	-3.980000e-22	-2.860000e-21	-3.520000e-22	1.060000e-21	1.230000e-20	-1.360000e-20	-1.630000e-20	-2.630000e-21	1.840000e-21	1.340000e-19	-2.650000e-20	1.820000e-21	9.600000e-20	-7.500000e-20	-1.060000e-18	7.540000e-21	-6.330000e-20	-1.250000e-18	-1.900000e-18	-2.420000e-19	9.380000e-20	-7.210000e-19	1.840000e-18	-1.850000e-18	-7.290000e-21	2.040000e-20	0.000000e+00	6.530000e-20	-2.020000e-20	7.960000e-20	1.870000e-20	-0.014610	0.000341	0.000224	0.000273	0.000254	0.000396	0.001007	0.002268	0.003767	0.004215	0.004697	0.005199	0.004324	0.013373	0.036869	0.063087	0.078064	0.131690	0.20354	0.19180	0.131770	0.089375	0.164870	0.26991	0.200990	0.091819	0.24065	0.360970	0.21776	0.021112	0.005276	0.004110	0.002876	0.002711	0.002696	0.002409	0.002966	-0.009644	-0.005025	-0.006491	-0.006014	-0.008518	-0.009241	-0.016506	-0.026006	-0.026273	-0.024160	-0.026321	-0.024286	-0.048924	-0.108390	-0.19432	-0.29603	-0.46639	-0.61778	-0.59600	-0.32867	-0.26301	-0.44541	-0.66075	-0.45846	-0.24540	-0.45883	-0.65524	-0.36007	-0.060063	-0.017824	-0.013598	-0.012346	-0.009196	-0.006933	-0.006569	-0.035389	0.014320	0.006662	0.006491	0.007475	0.008518	0.009443	0.016090	0.026006	0.028117	0.025222	0.022796	0.024286	0.048924	0.105750	0.20486	0.29603	0.46639	0.61778	0.59309	0.32867	0.26301	0.44541	0.66075	0.45846	0.24540	0.45883	0.64375	0.39877	0.056849	0.017824	0.014505	0.008493	0.009728	0.006753	0.006073	-0.009046	0.86453	0.435380	1.110000e-15	0.367450	0.000000e+00	-0.004310	-0.005383	-1.110000e-17	-0.000829	0.001605	-0.000362	1.010000e-15	-5.850000e-17	-0.003143	0.007433	1.510000e-17	2.210000e-17	-9.370000e-18	0.000734	-4.330000e-18	-4.470000e-17	-1.390000e-17	-3.500000e-17	-4.290000e-19	-9.660000e-18	-1.660000e-17	0.000115	-0.102900	0.030756	7.070000e-17	-0.086911	-0.28507	-0.173620	0.071728	0.010352	-2.73030	66.5007	36.9934	26.3508	51.9577	21.5451	8.2488	8.0024	6.9635	6.9189	5.0622	4.6068	7.7218	2.7224	2.4171	2.9383	4.2077	3.1541	2.8531	2.7496	2.1550	2.9457	2.1993	1.9830	1.8314	2.0062	1.6058	1.5466	1.5620	2.6445	3.8686	4.2105	5.1221	4.4625	2.6202	3.0004	18.9405	1
1	0	1	0.76686	0.69481	0.53966	234	233	0.008258	0.000073	0.00195	0.000016	0.00052	0.00112	0.00157	0.05516	0.502	0.02320	0.03675	0.06195	0.06961	0.984322	0.017974	21.497	67.415903	73.046374	71.528945	564.363614	1016.367294	2383.565201	3498.681572	58.465428	86.487292	248.357127	218.229722	0.81250	13.8284	2.8908	1.02210	0.22004	0.127410	1298455.445	1.6029	3.0600	0.000615	0.000295	1.04550	243.0816	379.8429	1.3063	1.3177	24.0230	6.7916	21.8851	0.26839	6.2366	0.20336	9.6074	12.1387	8.5008	2.8986	-0.46733	0.45984	-1.3427	-1.67590	0.17695	0.72944	0.236100	0.54722	0.057552	-0.395550	-0.001849	-0.002700	-0.002639	0.002915	-0.001179	-0.000777	0.001994	-0.000110	-0.000650	0.002529	-0.000354	-0.002985	0.001452	0.002505	0.000484	-0.000012	0.001386	-0.000717	-0.001366	0.000163	-0.000241	-0.000614	-0.000112	-0.000072	0.000252	0.000260	0.000691	-0.000109	0.22994	0.92018	0.53349	0.65764	0.30758	0.38678	0.16571	0.29640	0.22642	0.16785	0.21342	0.22222	0.20581	0.23030	0.037774	0.17047	0.072764	0.151650	0.045076	0.076312	0.025376	0.050259	0.037071	0.022166	0.039071	0.030383	0.032360	0.032486	0.014222	0.087125	0.036786	0.077256	0.024058	0.038709	0.012191	0.025500	0.019374	0.010645	0.020296	0.015389	0.015488	0.016128	99.9998	1.680000e-07	1.230000e-06	0.000012	0.000031	0.000046	0.000036	0.000005	0.000074	0.000009	0.000013	1.7545	5.9143	-13.88660	-1.146049e+02	-2.735543e+02	-2.104995e+02	-1.409300e+01	-6.501035e+02	-3.585250e+01	-5.323820e+01	-758.8078	-287.4139	-56.9104	-2.2495	-6.0268	-20.4266	-55.9988	-29.4730	-33.8478	-22.4413	0.003667	0.046661	0.85597	3.7170	6.0722	5.1009	0.93367	17.587500	1.37380	1.8125	0.009348	0.078964	1.32540	3.7067	11.7870	9.2620	2.25620	31.78930	3.23810	3.8258	-32588713.93	-39329560.14	-52167450.85	-7.573630e+07	-123243056.6	-220947833.1	-437011684.1	-859038700.4	-1.796706e+09	-3750669277	1110.9296	669.8030	443.6442	321.6040	261.2809	233.8954	231.2326	227.1834	237.5807	247.9779	545.9031	1936.8183	6203.4329	18157.1896	47222.6429	111142.9462	236033.1031	502899.2766	1.005893e+06	2012043.365	3990.8171	10580.7939	26814.5173	63969.6745	145371.1558	314467.5684	6.427345e+05	1327168.357	2654568.330	5309694.850	100.0000	7.300000e-09	5.390000e-08	5.400000e-07	1.360000e-06	0.000002	1.600000e-06	2.370000e-07	3.260000e-06	4.110000e-07	5.660000e-07	0.000367	0.002234	0.017408	0.038292	0.050360	0.039943	0.007054	0.065741	...	4.080000e-07	0.000000e+00	4.730000e-08	2.120000e-06	-7.470000e-19	0.000016	0.000020	0.000021	-5.290000e-18	1.480000e-18	-0.000146	-0.000276	0.000000	0.000000	-7.320000e-17	-0.000052	0.000000	-4.010000e-18	3.070000e-17	3.850000e-17	0.000000	0.000000	-3.790000e-17	-0.009889	0.004587	0.000118	7.120000e-20	0.000026	-0.000207	-0.000080	-0.000158	0.000013	-0.013974	-1.770000e-21	5.660000e-21	-1.190000e-21	1.850000e-20	0.000000e+00	3.080000e-21	-1.200000e-20	2.010000e-20	2.030000e-20	3.710000e-20	-1.680000e-20	-3.770000e-20	-4.950000e-20	7.580000e-21	1.200000e-19	-4.360000e-20	-1.180000e-19	1.340000e-18	3.170000e-18	5.660000e-21	3.090000e-19	-1.440000e-19	1.390000e-18	0.000000e+00	1.780000e-19	3.150000e-19	-4.270000e-18	1.950000e-18	7.770000e-20	-2.340000e-20	9.790000e-20	-5.890000e-20	-6.050000e-20	2.430000e-20	-2.920000e-20	-0.013605	0.000494	0.000325	0.000370	0.000383	0.000454	0.000731	0.001530	0.002911	0.003854	0.004451	0.005221	0.004344	0.011184	0.031117	0.055913	0.071183	0.128650	0.21443	0.19515	0.102920	0.068959	0.111710	0.19431	0.167210	0.070714	0.18846	0.310420	0.21896	0.029506	0.007229	0.005498	0.004219	0.003343	0.003103	0.003099	0.004780	-0.070360	-0.031668	-0.031342	-0.035671	-0.039817	-0.044589	-0.050361	-0.056267	-0.061855	-0.066933	-0.070039	-0.099695	-0.112210	-0.101340	-0.17254	-0.25945	-0.34292	-0.50757	-0.47909	-0.25345	-0.19328	-0.26291	-0.36756	-0.29252	-0.15110	-0.34059	-0.53495	-0.38570	-0.135820	-0.055053	-0.031383	-0.019211	-0.014257	-0.008747	-0.007438	-0.024711	0.048874	0.024703	0.031342	0.030946	0.039817	0.042343	0.047920	0.056267	0.055059	0.063234	0.080975	0.099695	0.112210	0.121580	0.18155	0.25945	0.34292	0.50757	0.47634	0.25345	0.19328	0.26291	0.36756	0.29252	0.15110	0.34059	0.50855	0.34973	0.092360	0.055053	0.033916	0.021793	0.017135	0.013696	0.013895	0.028459	-32.31440	-12.680900	-3.290000e-15	-7.259300	-3.830000e-15	-0.401950	-0.101740	3.350000e-17	-0.033633	-0.024050	0.178080	-3.680000e-15	-2.350000e-17	0.006114	-0.000092	-7.090000e-18	-3.910000e-18	8.750000e-18	0.000330	-9.330000e-19	-7.020000e-20	-1.010000e-17	1.520000e-17	-5.590000e-18	8.090000e-18	-6.280000e-18	0.000098	-0.005679	-0.205900	3.630000e-16	0.482840	0.50453	0.684220	0.729330	0.780410	5.22940	8643.9860	3962.0554	2976.2411	4329.0607	4005.1329	1127.6762	116.5331	20.2332	13.6395	12.5514	13.6965	60.8974	6.2958	3.0323	3.4039	4.3794	2.4329	2.0585	2.1839	2.2061	3.0999	1.9824	1.6227	1.5783	2.0470	1.5772	1.5530	1.5589	3.6107	23.5155	14.1962	11.0261	9.5082	6.5245	6.3431	45.1780	1
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3	1	0	0.41121	0.79672	0.59257	178	177	0.010858	0.000183	0.00419	0.000046	0.00149	0.00268	0.00446	0.05451	0.527	0.02395	0.02857	0.04462	0.07185	0.968343	0.042003	19.865	76.306989	81.000749	79.190593	819.529588	1201.813897	3154.035654	4122.163933	238.667052	191.984916	573.752909	526.147599	0.98548	139.5744	1.6961	0.83405	0.17295	0.147370	1932289.206	1.6717	3.0293	0.000196	0.000194	0.45452	79.0921	161.1054	1.2369	1.2986	83.6201	5.0784	35.8179	0.23529	4.2629	0.17510	9.8453	13.7399	6.7365	3.1023	0.75419	-1.55900	-1.0083	-0.65556	0.86495	1.48370	-0.153650	-0.89378	-0.754270	0.077452	-0.000720	-0.007600	0.001532	0.000650	0.001284	-0.000516	0.001438	0.000310	-0.001449	-0.000706	0.000487	-0.002997	-0.000970	0.001058	-0.000112	0.000653	-0.001144	0.000094	0.000218	0.000617	-0.000823	0.000195	0.000263	-0.000232	0.000467	0.000103	-0.000132	-0.000080	0.21182	1.07120	0.70803	0.59415	0.38868	0.27861	0.31571	0.20935	0.23498	0.24529	0.19689	0.20629	0.20627	0.25169	0.039296	0.18326	0.099350	0.072753	0.046507	0.046017	0.045901	0.035774	0.035142	0.032577	0.024291	0.032300	0.029051	0.037164	0.015560	0.074119	0.040403	0.030155	0.019442	0.018382	0.018555	0.017274	0.016129	0.015533	0.011976	0.015529	0.013770	0.015713	99.0823	8.545600e-03	2.058600e-02	0.025449	0.041488	0.062341	0.090279	0.133310	0.234650	0.067636	0.233380	-97087.3060	-279305.8601	-347307.97100	-6.050877e+05	-1.018351e+06	-1.571526e+06	-2.432333e+06	-4.520939e+06	-1.187850e+06	-4.571330e+06	-328.3795	105.9933	118.3538	145.1279	127.0736	115.1613	99.4862	102.5224	94.2247	109.5148	129.933600	383.699000	1077.80440	2857.1343	3233.2456	8715.5558	12621.05520	41833.392000	7594.75480	37684.4579	432.370800	1682.659500	2707.54150	5456.4506	10590.0428	18444.5045	26794.43720	61373.06100	16630.27430	72647.0576	-44854174.87	-50479679.82	-60032621.59	-7.660933e+07	-109696232.2	-176812107.4	-330129338.5	-625193831.3	-1.306602e+09	-2722133496	1114.4630	669.4187	440.8719	318.0211	257.2300	229.4475	226.5624	222.5964	233.0128	243.4450	1901.8331	4692.7977	10378.0764	22556.3120	44691.4166	97623.3041	184765.6410	377576.4933	7.358128e+05	1507172.433	11489.6961	27458.8885	60867.3395	110362.2373	200062.7545	314057.2871	7.030022e+05	1002359.597	2359863.040	4011147.820	99.9734	2.475100e-04	5.856900e-04	7.364100e-04	1.226000e-03	0.001834	2.571300e-03	3.857800e-03	6.725900e-03	1.920600e-03	6.912400e-03	2.495600	3.469100	4.182000	4.604900	0.663200	-3.994400	-12.521200	-34.856200	...	3.580000e-06	-3.380000e-06	-4.610000e-06	-9.200000e-06	-1.100000e-06	0.000037	-0.000018	-0.000043	1.620000e-06	-7.110000e-05	0.000644	-0.000502	-0.000005	0.000458	-8.971200e-04	0.000240	0.001378	2.527000e-03	-2.344000e-04	-4.017500e-04	-0.003730	0.002295	1.105400e-03	-0.000034	0.000873	0.000256	-6.247100e-04	0.001806	0.001014	0.001869	-0.000313	0.000906	-0.003407	-4.480000e-21	1.210000e-20	-1.120000e-20	-5.400000e-21	-7.100000e-21	-1.410000e-20	-8.810000e-21	2.490000e-20	2.940000e-20	1.220000e-21	5.630000e-20	-3.160000e-20	2.560000e-19	-1.230000e-18	-9.090000e-20	5.090000e-20	-1.070000e-19	-2.800000e-19	-1.260000e-19	1.430000e-19	7.780000e-19	-2.170000e-19	2.870000e-18	-6.250000e-20	2.830000e-18	-2.340000e-18	5.940000e-19	-1.620000e-18	4.660000e-19	-2.060000e-18	5.040000e-19	5.730000e-19	-2.420000e-19	2.430000e-20	-5.540000e-19	0.001251	0.001587	0.001564	0.001716	0.002003	0.002512	0.002267	0.003178	0.004850	0.005975	0.005234	0.004537	0.016104	0.051620	0.107080	0.158720	0.198390	0.194870	0.16829	0.14238	0.170260	0.239650	0.232180	0.40929	0.891050	1.156400	0.56424	0.108530	0.20058	0.233870	0.114790	0.049383	0.044040	0.038407	0.037596	0.036562	0.097670	-0.083880	-0.042498	-0.048721	-0.051463	-0.060416	-0.069825	-0.078876	-0.089012	-0.099344	-0.110820	-0.121640	-0.129990	-0.268930	-0.586380	-0.84814	-0.91013	-0.82669	-0.65225	-0.52657	-0.41462	-0.54714	-0.68398	-1.02680	-2.09730	-2.36090	-1.27240	-0.66787	-0.70187	-0.671820	-0.506900	-0.358560	-0.175740	-0.154480	-0.111170	-0.184540	-0.310740	0.120480	0.056334	0.053598	0.059935	0.067180	0.076199	0.083617	0.088373	0.103800	0.117990	0.111290	0.122970	0.273530	0.567740	0.83417	0.94236	0.87739	0.76014	0.50019	0.39757	0.55106	0.61714	0.95174	2.13880	2.38800	1.23460	0.59222	0.68665	0.676480	0.486490	0.254560	0.154360	0.133160	0.161530	0.120000	0.440710	4.27060	0.616730	6.455000e-02	0.273230	2.917600e-02	0.179870	0.156260	-1.866300e-02	-0.014528	0.051052	0.022622	-3.042800e-02	3.480400e-02	0.000153	0.009561	1.837600e-03	9.035600e-03	1.939000e-03	0.052791	-1.296300e-03	-1.281100e-03	-1.408200e-02	-1.239600e-03	4.244100e-03	9.940000e-05	-1.795500e-02	-0.073310	0.027619	0.005381	-1.773300e-02	-0.767920	-0.13315	-0.367170	0.366920	-0.492650	0.19164	591.0116	65.3827	53.9852	45.4458	34.6650	88.3259	46.6869	23.2911	19.2022	42.3957	100.3649	7.1967	6.3892	6.5496	6.0264	4.7656	4.8909	4.2531	3.0295	2.0362	1.8478	2.5776	2.2064	1.9491	1.9120	1.8829	6.9761	3.7805	3.5664	5.2558	14.0403	4.2235	4.6857	4.8460	6.2650	4.0603	1
4	1	0	0.32790	0.79782	0.53028	236	235	0.008162	0.002669	0.00535	0.000044	0.00166	0.00227	0.00499	0.05610	0.497	0.02909	0.03327	0.05278	0.08728	0.975754	0.027139	19.557	76.645686	80.937258	79.183495	846.796144	1215.346469	3201.513132	4085.456839	402.216738	210.061394	203.637106	384.611697	0.97847	102.0549	15.4045	0.83556	0.16210	0.151990	1861807.802	1.6781	3.0362	0.000281	0.000175	0.71541	53.6764	164.4029	1.2360	1.3156	102.9371	5.6022	31.5211	0.30603	6.3500	0.21877	10.1542	14.7643	6.4634	2.9451	0.83210	-1.75500	-1.0392	-0.51876	0.94225	1.54980	-0.202080	-1.03360	-0.880070	-0.103460	0.001995	-0.000891	-0.001809	0.004247	-0.000704	-0.001753	0.000913	0.004485	-0.003392	-0.001008	0.001829	-0.001250	-0.000751	-0.001325	-0.000211	-0.001466	0.000946	0.000365	-0.000235	-0.000170	0.000646	-0.000398	0.000256	0.000576	-0.000285	0.000177	0.000140	0.000035	0.17405	0.81706	0.43786	0.43213	0.26670	0.29672	0.19240	0.22488	0.25130	0.22090	0.17459	0.23269	0.20141	0.21294	0.028652	0.17084	0.064960	0.069561	0.046887	0.047531	0.033966	0.029721	0.033943	0.031989	0.026002	0.028222	0.030469	0.028731	0.011037	0.069915	0.026953	0.030160	0.022486	0.020515	0.017161	0.013791	0.016059	0.014382	0.012686	0.014478	0.013402	0.013618	98.6930	7.861100e-03	1.123800e-02	0.014564	0.055365	0.030612	0.057492	0.113500	0.123360	0.101750	0.791240	-115393.5436	-173099.5546	-235961.64100	-1.054960e+06	-5.759867e+05	-1.170598e+06	-2.613414e+06	-2.797297e+06	-2.228969e+06	-2.089139e+07	-231.7629	67.8393	141.8058	177.2765	129.2619	103.6704	101.5425	100.3828	112.0031	138.1052	113.394700	380.627700	869.24010	4307.7861	3436.9623	5521.4215	13703.59560	9676.360300	13545.68690	134568.1745	437.941800	933.581200	1522.96350	7995.9587	6601.1111	14594.4305	35910.80060	42206.54280	22655.66220	228423.4102	-59737876.86	-66995068.86	-80313780.59	-1.003577e+08	-140671395.9	-225887933.1	-425927317.4	-786450935.2	-1.640684e+09	-3391441982	1150.7588	687.9315	451.0732	323.8359	260.5085	231.7202	228.6784	224.1464	234.5705	245.0186	1921.2283	5938.5628	16402.1087	37106.4026	87904.0887	189806.4877	404982.5071	853765.7904	1.713112e+06	3158402.899	11366.1022	29064.1478	72348.0929	140910.6033	318496.1060	713080.2915	1.119327e+06	2556027.478	4504909.124	8579124.177	99.9541	2.686400e-04	3.879400e-04	4.966200e-04	1.928400e-03	0.001070	1.999400e-03	4.102300e-03	4.380400e-03	3.616600e-03	2.765900e-02	2.482600	3.110000	3.341000	3.901600	2.594700	-0.122650	-18.428700	-16.834000	...	-6.300000e-07	1.600000e-09	-7.060000e-06	-6.170000e-06	-1.360000e-07	0.000015	-0.000027	-0.000006	-2.640000e-05	-9.270000e-05	-0.000317	-0.000833	0.000120	-0.000160	-1.372500e-04	0.000346	0.000844	2.147300e-03	2.843900e-03	2.721900e-04	-0.002351	0.017662	8.909500e-03	0.000374	-0.000449	-0.000794	-4.292000e-04	0.000482	-0.000885	-0.000391	0.000663	-0.000291	-0.003433	-1.800000e-21	5.240000e-21	-2.460000e-21	-2.700000e-21	5.720000e-21	3.670000e-21	2.640000e-22	-1.030000e-20	-1.170000e-20	-1.830000e-21	1.280000e-20	-3.590000e-20	1.020000e-19	-3.110000e-19	-5.820000e-19	2.640000e-19	1.310000e-19	-3.300000e-19	1.090000e-18	-2.040000e-19	-1.700000e-18	1.770000e-18	1.110000e-18	-1.220000e-18	-1.950000e-18	-8.110000e-19	1.280000e-19	-2.430000e-20	-3.160000e-20	1.400000e-19	-1.120000e-19	-1.180000e-19	-4.030000e-20	1.880000e-19	-2.190000e-20	0.000367	0.001478	0.001725	0.002077	0.002099	0.002526	0.002303	0.002850	0.004911	0.006632	0.005222	0.003931	0.015422	0.051298	0.111210	0.169000	0.197900	0.172300	0.14848	0.14000	0.171210	0.249550	0.206070	0.37040	0.888380	1.187900	0.59964	0.080751	0.14038	0.160080	0.078323	0.044103	0.044263	0.040032	0.028778	0.026253	0.106320	-0.039576	-0.020694	-0.024406	-0.024440	-0.032103	-0.033566	-0.037229	-0.049975	-0.056474	-0.066787	-0.078138	-0.115900	-0.227210	-0.505800	-0.86047	-0.93465	-0.77137	-0.62996	-0.45541	-0.46073	-0.56218	-0.55034	-1.00870	-1.74840	-2.28820	-1.18590	-0.42028	-0.52318	-0.575900	-0.365840	-0.142190	-0.204260	-0.221940	-0.148020	-0.113320	-0.406580	0.059090	0.026789	0.021314	0.027942	0.028856	0.036384	0.038050	0.049211	0.060046	0.072172	0.086621	0.102950	0.235860	0.567490	0.74186	0.75783	0.80918	0.58794	0.44788	0.46352	0.63134	0.55267	1.04250	1.74970	2.28370	1.35380	0.49868	0.57971	0.623640	0.384470	0.189870	0.206310	0.209420	0.135500	0.092719	0.445130	0.39147	0.032907	-4.187600e-03	0.005982	-1.890000e-02	-0.037698	-0.114170	-1.775300e-02	-0.009927	-0.010845	0.115230	7.083800e-03	1.791500e-02	0.006910	-0.005165	-4.920000e-03	-5.740400e-03	-3.680500e-03	-0.017182	-5.397100e-03	3.441400e-03	1.298500e-03	3.069000e-03	7.456300e-04	4.850000e-05	5.015800e-02	0.011784	0.011756	-0.008074	-1.896400e-02	0.419690	0.29168	-0.071687	-0.378360	-0.035805	0.26596	32.0393	7.2343	6.5540	6.4520	6.9274	10.2265	14.2579	10.6181	8.6143	9.5822	34.0835	4.1139	3.6718	4.4360	4.5793	3.9447	4.1253	3.4869	2.4627	2.1073	1.9056	2.2214	2.0588	1.8157	1.7577	1.8821	7.8832	6.1727	5.8416	6.0805	5.7621	7.7817	11.6891	8.2103	5.0559	6.1164	1

	-id	-gender	Baseline Features-PPE	Baseline Features-DFA	Baseline Features-RPDE	Baseline Features-numPulses	Baseline Features-numPeriodsPulses	Baseline Features-meanPeriodPulses	Baseline Features-stdDevPeriodPulses	Baseline Features-locPctJitter	Baseline Features-locAbsJitter	Baseline Features-rapJitter	Baseline Features-ppq5Jitter	Baseline Features-ddpJitter	Baseline Features-locShimmer	Baseline Features-locDbShimmer	Baseline Features-apq3Shimmer	Baseline Features-apq5Shimmer	Baseline Features-apq11Shimmer	Baseline Features-ddaShimmer	Baseline Features-meanAutoCorrHarmonicity	Baseline Features-meanNoiseToHarmHarmonicity	Baseline Features-meanHarmToNoiseHarmonicity	Intensity Parameters-minIntensity	Intensity Parameters-maxIntensity	Intensity Parameters-meanIntensity	Formant Frequencies-f1	Formant Frequencies-f2	Formant Frequencies-f3	Formant Frequencies-f4	Bandwidth Parameters-b1	Bandwidth Parameters-b2	Bandwidth Parameters-b3	Bandwidth Parameters-b4	Vocal Fold-GQ_prc5_95	Vocal Fold-GQ_std_cycle_open	Vocal Fold-GQ_std_cycle_closed	Vocal Fold-GNE_mean	Vocal Fold-GNE_std	Vocal Fold-GNE_SNR_TKEO	Vocal Fold-GNE_SNR_SEO	Vocal Fold-GNE_NSR_TKEO	Vocal Fold-GNE_NSR_SEO	Vocal Fold-VFER_mean	Vocal Fold-VFER_std	Vocal Fold-VFER_entropy	Vocal Fold-VFER_SNR_TKEO	Vocal Fold-VFER_SNR_SEO	Vocal Fold-VFER_NSR_TKEO	Vocal Fold-VFER_NSR_SEO	Vocal Fold-IMF_SNR_SEO	Vocal Fold-IMF_SNR_TKEO	Vocal Fold-IMF_SNR_entropy	Vocal Fold-IMF_NSR_SEO	Vocal Fold-IMF_NSR_TKEO	Vocal Fold-IMF_NSR_entropy	MFCC -mean_Log_energy	MFCC -mean_MFCC_0th_coef	MFCC -mean_MFCC_1st_coef	MFCC -mean_MFCC_2nd_coef	MFCC -mean_MFCC_3rd_coef	MFCC -mean_MFCC_4th_coef	MFCC -mean_MFCC_5th_coef	MFCC -mean_MFCC_6th_coef	MFCC -mean_MFCC_7th_coef	MFCC -mean_MFCC_8th_coef	MFCC -mean_MFCC_9th_coef	MFCC -mean_MFCC_10th_coef	MFCC -mean_MFCC_11th_coef	MFCC -mean_MFCC_12th_coef	MFCC -mean_delta_log_energy	MFCC -mean_0th_delta	MFCC -mean_1st_delta	MFCC -mean_2nd_delta	MFCC -mean_3rd_delta	MFCC -mean_4th_delta	MFCC -mean_5th_delta	MFCC -mean_6th_delta	MFCC -mean_7th_delta	MFCC -mean_8th_delta	MFCC -mean_9th_delta	MFCC -mean_10th_delta	MFCC -mean_11th_delta	MFCC -mean_12th_delta	MFCC -mean_delta_delta_log_energy	MFCC -mean_delta_delta_0th	MFCC -mean_1st_delta_delta	MFCC -mean_2nd_delta_delta	MFCC -mean_3rd_delta_delta	MFCC -mean_4th_delta_delta	MFCC -mean_5th_delta_delta	MFCC -mean_6th_delta_delta	MFCC -mean_7th_delta_delta	MFCC -mean_8th_delta_delta	MFCC -mean_9th_delta_delta	MFCC -mean_10th_delta_delta	MFCC -mean_11th_delta_delta	MFCC -mean_12th_delta_delta	MFCC -std_Log_energy	MFCC -std_MFCC_0th_coef	MFCC -std_MFCC_1st_coef	MFCC -std_MFCC_2nd_coef	MFCC -std_MFCC_3rd_coef	MFCC -std_MFCC_4th_coef	MFCC -std_MFCC_5th_coef	MFCC -std_MFCC_6th_coef	MFCC -std_MFCC_7th_coef	MFCC -std_MFCC_8th_coef	MFCC -std_MFCC_9th_coef	MFCC -std_MFCC_10th_coef	MFCC -std_MFCC_11th_coef	MFCC -std_MFCC_12th_coef	MFCC -std_delta_log_energy	MFCC -std_0th_delta	MFCC -std_1st_delta	MFCC -std_2nd_delta	MFCC -std_3rd_delta	MFCC -std_4th_delta	MFCC -std_5th_delta	MFCC -std_6th_delta	MFCC -std_7th_delta	MFCC -std_8th_delta	MFCC -std_9th_delta	MFCC -std_10th_delta	MFCC -std_11th_delta	MFCC -std_12th_delta	MFCC -std_delta_delta_log_energy	MFCC -std_delta_delta_0th	MFCC -std_1st_delta_delta	MFCC -std_2nd_delta_delta	MFCC -std_3rd_delta_delta	MFCC -std_4th_delta_delta	MFCC -std_5th_delta_delta	MFCC -std_6th_delta_delta	MFCC -std_7th_delta_delta	MFCC -std_8th_delta_delta	MFCC -std_9th_delta_delta	MFCC -std_10th_delta_delta	MFCC -std_11th_delta_delta	MFCC -std_12th_delta_delta	Wavelet Features-Ea	Wavelet Features-Ed_1_coef	Wavelet Features-Ed_2_coef	Wavelet Features-Ed_3_coef	Wavelet Features-Ed_4_coef	Wavelet Features-Ed_5_coef	Wavelet Features-Ed_6_coef	Wavelet Features-Ed_7_coef	Wavelet Features-Ed_8_coef	Wavelet Features-Ed_9_coef	Wavelet Features-Ed_10_coef	Wavelet Features-det_entropy_shannon_1_coef	Wavelet Features-det_entropy_shannon_2_coef	Wavelet Features-det_entropy_shannon_3_coef	Wavelet Features-det_entropy_shannon_4_coef	Wavelet Features-det_entropy_shannon_5_coef	Wavelet Features-det_entropy_shannon_6_coef	Wavelet Features-det_entropy_shannon_7_coef	Wavelet Features-det_entropy_shannon_8_coef	Wavelet Features-det_entropy_shannon_9_coef	Wavelet Features-det_entropy_shannon_10_coef	Wavelet Features-det_entropy_log_1_coef	Wavelet Features-det_entropy_log_2_coef	Wavelet Features-det_entropy_log_3_coef	Wavelet Features-det_entropy_log_4_coef	Wavelet Features-det_entropy_log_5_coef	Wavelet Features-det_entropy_log_6_coef	Wavelet Features-det_entropy_log_7_coef	Wavelet Features-det_entropy_log_8_coef	Wavelet Features-det_entropy_log_9_coef	Wavelet Features-det_entropy_log_10_coef	Wavelet Features-det_TKEO_mean_1_coef	Wavelet Features-det_TKEO_mean_2_coef	Wavelet Features-det_TKEO_mean_3_coef	Wavelet Features-det_TKEO_mean_4_coef	Wavelet Features-det_TKEO_mean_5_coef	Wavelet Features-det_TKEO_mean_6_coef	Wavelet Features-det_TKEO_mean_7_coef	Wavelet Features-det_TKEO_mean_8_coef	Wavelet Features-det_TKEO_mean_9_coef	Wavelet Features-det_TKEO_mean_10_coef	Wavelet Features-det_TKEO_std_1_coef	Wavelet Features-det_TKEO_std_2_coef	Wavelet Features-det_TKEO_std_3_coef	Wavelet Features-det_TKEO_std_4_coef	Wavelet Features-det_TKEO_std_5_coef	Wavelet Features-det_TKEO_std_6_coef	Wavelet Features-det_TKEO_std_7_coef	Wavelet Features-det_TKEO_std_8_coef	Wavelet Features-det_TKEO_std_9_coef	Wavelet Features-det_TKEO_std_10_coef	Wavelet Features-app_entropy_shannon_1_coef	Wavelet Features-app_entropy_shannon_2_coef	Wavelet Features-app_entropy_shannon_3_coef	Wavelet Features-app_entropy_shannon_4_coef	Wavelet Features-app_entropy_shannon_5_coef	Wavelet Features-app_entropy_shannon_6_coef	Wavelet Features-app_entropy_shannon_7_coef	Wavelet Features-app_entropy_shannon_8_coef	Wavelet Features-app_entropy_shannon_9_coef	Wavelet Features-app_entropy_shannon_10_coef	Wavelet Features-app_entropy_log_1_coef	Wavelet Features-app_entropy_log_2_coef	Wavelet Features-app_entropy_log_3_coef	Wavelet Features-app_entropy_log_4_coef	Wavelet Features-app_entropy_log_5_coef	Wavelet Features-app_entropy_log_6_coef	Wavelet Features-app_entropy_log_7_coef	Wavelet Features-app_entropy_log_8_coef	Wavelet Features-app_entropy_log_9_coef	Wavelet Features-app_entropy_log_10_coef	Wavelet Features-app_det_TKEO_mean_1_coef	Wavelet Features-app_det_TKEO_mean_2_coef	Wavelet Features-app_det_TKEO_mean_3_coef	Wavelet Features-app_det_TKEO_mean_4_coef	Wavelet Features-app_det_TKEO_mean_5_coef	Wavelet Features-app_det_TKEO_mean_6_coef	Wavelet Features-app_det_TKEO_mean_7_coef	Wavelet Features-app_det_TKEO_mean_8_coef	Wavelet Features-app_det_TKEO_mean_9_coef	Wavelet Features-app_det_TKEO_mean_10_coef	Wavelet Features-app_TKEO_std_1_coef	Wavelet Features-app_TKEO_std_2_coef	Wavelet Features-app_TKEO_std_3_coef	Wavelet Features-app_TKEO_std_4_coef	Wavelet Features-app_TKEO_std_5_coef	Wavelet Features-app_TKEO_std_6_coef	Wavelet Features-app_TKEO_std_7_coef	Wavelet Features-app_TKEO_std_8_coef	Wavelet Features-app_TKEO_std_9_coef	Wavelet Features-app_TKEO_std_10_coef	Wavelet Features-Ea2	Wavelet Features-Ed2_1_coef	Wavelet Features-Ed2_2_coef	Wavelet Features-Ed2_3_coef	Wavelet Features-Ed2_4_coef	Wavelet Features-Ed2_5_coef	Wavelet Features-Ed2_6_coef	Wavelet Features-Ed2_7_coef	Wavelet Features-Ed2_8_coef	Wavelet Features-Ed2_9_coef	Wavelet Features-Ed2_10_coef	Wavelet Features-det_LT_entropy_shannon_1_coef	Wavelet Features-det_LT_entropy_shannon_2_coef	Wavelet Features-det_LT_entropy_shannon_3_coef	Wavelet Features-det_LT_entropy_shannon_4_coef	Wavelet Features-det_LT_entropy_shannon_5_coef	Wavelet Features-det_LT_entropy_shannon_6_coef	Wavelet Features-det_LT_entropy_shannon_7_coef	Wavelet Features-det_LT_entropy_shannon_8_coef	...	TQWT Features-tqwt_medianValue_dec_4	TQWT Features-tqwt_medianValue_dec_5	TQWT Features-tqwt_medianValue_dec_6	TQWT Features-tqwt_medianValue_dec_7	TQWT Features-tqwt_medianValue_dec_8	TQWT Features-tqwt_medianValue_dec_9	TQWT Features-tqwt_medianValue_dec_10	TQWT Features-tqwt_medianValue_dec_11	TQWT Features-tqwt_medianValue_dec_12	TQWT Features-tqwt_medianValue_dec_13	TQWT Features-tqwt_medianValue_dec_14	TQWT Features-tqwt_medianValue_dec_15	TQWT Features-tqwt_medianValue_dec_16	TQWT Features-tqwt_medianValue_dec_17	TQWT Features-tqwt_medianValue_dec_18	TQWT Features-tqwt_medianValue_dec_19	TQWT Features-tqwt_medianValue_dec_20	TQWT Features-tqwt_medianValue_dec_21	TQWT Features-tqwt_medianValue_dec_22	TQWT Features-tqwt_medianValue_dec_23	TQWT Features-tqwt_medianValue_dec_24	TQWT Features-tqwt_medianValue_dec_25	TQWT Features-tqwt_medianValue_dec_26	TQWT Features-tqwt_medianValue_dec_27	TQWT Features-tqwt_medianValue_dec_28	TQWT Features-tqwt_medianValue_dec_29	TQWT Features-tqwt_medianValue_dec_30	TQWT Features-tqwt_medianValue_dec_31	TQWT Features-tqwt_medianValue_dec_32	TQWT Features-tqwt_medianValue_dec_33	TQWT Features-tqwt_medianValue_dec_34	TQWT Features-tqwt_medianValue_dec_35	TQWT Features-tqwt_medianValue_dec_36	TQWT Features-tqwt_meanValue_dec_1	TQWT Features-tqwt_meanValue_dec_2	TQWT Features-tqwt_meanValue_dec_3	TQWT Features-tqwt_meanValue_dec_4	TQWT Features-tqwt_meanValue_dec_5	TQWT Features-tqwt_meanValue_dec_6	TQWT Features-tqwt_meanValue_dec_7	TQWT Features-tqwt_meanValue_dec_8	TQWT Features-tqwt_meanValue_dec_9	TQWT Features-tqwt_meanValue_dec_10	TQWT Features-tqwt_meanValue_dec_11	TQWT Features-tqwt_meanValue_dec_12	TQWT Features-tqwt_meanValue_dec_13	TQWT Features-tqwt_meanValue_dec_14	TQWT Features-tqwt_meanValue_dec_15	TQWT Features-tqwt_meanValue_dec_16	TQWT Features-tqwt_meanValue_dec_17	TQWT Features-tqwt_meanValue_dec_18	TQWT Features-tqwt_meanValue_dec_19	TQWT Features-tqwt_meanValue_dec_20	TQWT Features-tqwt_meanValue_dec_21	TQWT Features-tqwt_meanValue_dec_22	TQWT Features-tqwt_meanValue_dec_23	TQWT Features-tqwt_meanValue_dec_24	TQWT Features-tqwt_meanValue_dec_25	TQWT Features-tqwt_meanValue_dec_26	TQWT Features-tqwt_meanValue_dec_27	TQWT Features-tqwt_meanValue_dec_28	TQWT Features-tqwt_meanValue_dec_29	TQWT Features-tqwt_meanValue_dec_30	TQWT Features-tqwt_meanValue_dec_31	TQWT Features-tqwt_meanValue_dec_32	TQWT Features-tqwt_meanValue_dec_33	TQWT Features-tqwt_meanValue_dec_34	TQWT Features-tqwt_meanValue_dec_35	TQWT Features-tqwt_meanValue_dec_36	TQWT Features-tqwt_stdValue_dec_1	TQWT Features-tqwt_stdValue_dec_2	TQWT Features-tqwt_stdValue_dec_3	TQWT Features-tqwt_stdValue_dec_4	TQWT Features-tqwt_stdValue_dec_5	TQWT Features-tqwt_stdValue_dec_6	TQWT Features-tqwt_stdValue_dec_7	TQWT Features-tqwt_stdValue_dec_8	TQWT Features-tqwt_stdValue_dec_9	TQWT Features-tqwt_stdValue_dec_10	TQWT Features-tqwt_stdValue_dec_11	TQWT Features-tqwt_stdValue_dec_12	TQWT Features-tqwt_stdValue_dec_13	TQWT Features-tqwt_stdValue_dec_14	TQWT Features-tqwt_stdValue_dec_15	TQWT Features-tqwt_stdValue_dec_16	TQWT Features-tqwt_stdValue_dec_17	TQWT Features-tqwt_stdValue_dec_18	TQWT Features-tqwt_stdValue_dec_19	TQWT Features-tqwt_stdValue_dec_20	TQWT Features-tqwt_stdValue_dec_21	TQWT Features-tqwt_stdValue_dec_22	TQWT Features-tqwt_stdValue_dec_23	TQWT Features-tqwt_stdValue_dec_24	TQWT Features-tqwt_stdValue_dec_25	TQWT Features-tqwt_stdValue_dec_26	TQWT Features-tqwt_stdValue_dec_27	TQWT Features-tqwt_stdValue_dec_28	TQWT Features-tqwt_stdValue_dec_29	TQWT Features-tqwt_stdValue_dec_30	TQWT Features-tqwt_stdValue_dec_31	TQWT Features-tqwt_stdValue_dec_32	TQWT Features-tqwt_stdValue_dec_33	TQWT Features-tqwt_stdValue_dec_34	TQWT Features-tqwt_stdValue_dec_35	TQWT Features-tqwt_stdValue_dec_36	TQWT Features-tqwt_minValue_dec_1	TQWT Features-tqwt_minValue_dec_2	TQWT Features-tqwt_minValue_dec_3	TQWT Features-tqwt_minValue_dec_4	TQWT Features-tqwt_minValue_dec_5	TQWT Features-tqwt_minValue_dec_6	TQWT Features-tqwt_minValue_dec_7	TQWT Features-tqwt_minValue_dec_8	TQWT Features-tqwt_minValue_dec_9	TQWT Features-tqwt_minValue_dec_10	TQWT Features-tqwt_minValue_dec_11	TQWT Features-tqwt_minValue_dec_12	TQWT Features-tqwt_minValue_dec_13	TQWT Features-tqwt_minValue_dec_14	TQWT Features-tqwt_minValue_dec_15	TQWT Features-tqwt_minValue_dec_16	TQWT Features-tqwt_minValue_dec_17	TQWT Features-tqwt_minValue_dec_18	TQWT Features-tqwt_minValue_dec_19	TQWT Features-tqwt_minValue_dec_20	TQWT Features-tqwt_minValue_dec_21	TQWT Features-tqwt_minValue_dec_22	TQWT Features-tqwt_minValue_dec_23	TQWT Features-tqwt_minValue_dec_24	TQWT Features-tqwt_minValue_dec_25	TQWT Features-tqwt_minValue_dec_26	TQWT Features-tqwt_minValue_dec_27	TQWT Features-tqwt_minValue_dec_28	TQWT Features-tqwt_minValue_dec_29	TQWT Features-tqwt_minValue_dec_30	TQWT Features-tqwt_minValue_dec_31	TQWT Features-tqwt_minValue_dec_32	TQWT Features-tqwt_minValue_dec_33	TQWT Features-tqwt_minValue_dec_34	TQWT Features-tqwt_minValue_dec_35	TQWT Features-tqwt_minValue_dec_36	TQWT Features-tqwt_maxValue_dec_1	TQWT Features-tqwt_maxValue_dec_2	TQWT Features-tqwt_maxValue_dec_3	TQWT Features-tqwt_maxValue_dec_4	TQWT Features-tqwt_maxValue_dec_5	TQWT Features-tqwt_maxValue_dec_6	TQWT Features-tqwt_maxValue_dec_7	TQWT Features-tqwt_maxValue_dec_8	TQWT Features-tqwt_maxValue_dec_9	TQWT Features-tqwt_maxValue_dec_10	TQWT Features-tqwt_maxValue_dec_11	TQWT Features-tqwt_maxValue_dec_12	TQWT Features-tqwt_maxValue_dec_13	TQWT Features-tqwt_maxValue_dec_14	TQWT Features-tqwt_maxValue_dec_15	TQWT Features-tqwt_maxValue_dec_16	TQWT Features-tqwt_maxValue_dec_17	TQWT Features-tqwt_maxValue_dec_18	TQWT Features-tqwt_maxValue_dec_19	TQWT Features-tqwt_maxValue_dec_20	TQWT Features-tqwt_maxValue_dec_21	TQWT Features-tqwt_maxValue_dec_22	TQWT Features-tqwt_maxValue_dec_23	TQWT Features-tqwt_maxValue_dec_24	TQWT Features-tqwt_maxValue_dec_25	TQWT Features-tqwt_maxValue_dec_26	TQWT Features-tqwt_maxValue_dec_27	TQWT Features-tqwt_maxValue_dec_28	TQWT Features-tqwt_maxValue_dec_29	TQWT Features-tqwt_maxValue_dec_30	TQWT Features-tqwt_maxValue_dec_31	TQWT Features-tqwt_maxValue_dec_32	TQWT Features-tqwt_maxValue_dec_33	TQWT Features-tqwt_maxValue_dec_34	TQWT Features-tqwt_maxValue_dec_35	TQWT Features-tqwt_maxValue_dec_36	TQWT Features-tqwt_skewnessValue_dec_1	TQWT Features-tqwt_skewnessValue_dec_2	TQWT Features-tqwt_skewnessValue_dec_3	TQWT Features-tqwt_skewnessValue_dec_4	TQWT Features-tqwt_skewnessValue_dec_5	TQWT Features-tqwt_skewnessValue_dec_6	TQWT Features-tqwt_skewnessValue_dec_7	TQWT Features-tqwt_skewnessValue_dec_8	TQWT Features-tqwt_skewnessValue_dec_9	TQWT Features-tqwt_skewnessValue_dec_10	TQWT Features-tqwt_skewnessValue_dec_11	TQWT Features-tqwt_skewnessValue_dec_12	TQWT Features-tqwt_skewnessValue_dec_13	TQWT Features-tqwt_skewnessValue_dec_14	TQWT Features-tqwt_skewnessValue_dec_15	TQWT Features-tqwt_skewnessValue_dec_16	TQWT Features-tqwt_skewnessValue_dec_17	TQWT Features-tqwt_skewnessValue_dec_18	TQWT Features-tqwt_skewnessValue_dec_19	TQWT Features-tqwt_skewnessValue_dec_20	TQWT Features-tqwt_skewnessValue_dec_21	TQWT Features-tqwt_skewnessValue_dec_22	TQWT Features-tqwt_skewnessValue_dec_23	TQWT Features-tqwt_skewnessValue_dec_24	TQWT Features-tqwt_skewnessValue_dec_25	TQWT Features-tqwt_skewnessValue_dec_26	TQWT Features-tqwt_skewnessValue_dec_27	TQWT Features-tqwt_skewnessValue_dec_28	TQWT Features-tqwt_skewnessValue_dec_29	TQWT Features-tqwt_skewnessValue_dec_30	TQWT Features-tqwt_skewnessValue_dec_31	TQWT Features-tqwt_skewnessValue_dec_32	TQWT Features-tqwt_skewnessValue_dec_33	TQWT Features-tqwt_skewnessValue_dec_34	TQWT Features-tqwt_skewnessValue_dec_35	TQWT Features-tqwt_skewnessValue_dec_36	TQWT Features-tqwt_kurtosisValue_dec_1	TQWT Features-tqwt_kurtosisValue_dec_2	TQWT Features-tqwt_kurtosisValue_dec_3	TQWT Features-tqwt_kurtosisValue_dec_4	TQWT Features-tqwt_kurtosisValue_dec_5	TQWT Features-tqwt_kurtosisValue_dec_6	TQWT Features-tqwt_kurtosisValue_dec_7	TQWT Features-tqwt_kurtosisValue_dec_8	TQWT Features-tqwt_kurtosisValue_dec_9	TQWT Features-tqwt_kurtosisValue_dec_10	TQWT Features-tqwt_kurtosisValue_dec_11	TQWT Features-tqwt_kurtosisValue_dec_12	TQWT Features-tqwt_kurtosisValue_dec_13	TQWT Features-tqwt_kurtosisValue_dec_14	TQWT Features-tqwt_kurtosisValue_dec_15	TQWT Features-tqwt_kurtosisValue_dec_16	TQWT Features-tqwt_kurtosisValue_dec_17	TQWT Features-tqwt_kurtosisValue_dec_18	TQWT Features-tqwt_kurtosisValue_dec_19	TQWT Features-tqwt_kurtosisValue_dec_20	TQWT Features-tqwt_kurtosisValue_dec_21	TQWT Features-tqwt_kurtosisValue_dec_22	TQWT Features-tqwt_kurtosisValue_dec_23	TQWT Features-tqwt_kurtosisValue_dec_24	TQWT Features-tqwt_kurtosisValue_dec_25	TQWT Features-tqwt_kurtosisValue_dec_26	TQWT Features-tqwt_kurtosisValue_dec_27	TQWT Features-tqwt_kurtosisValue_dec_28	TQWT Features-tqwt_kurtosisValue_dec_29	TQWT Features-tqwt_kurtosisValue_dec_30	TQWT Features-tqwt_kurtosisValue_dec_31	TQWT Features-tqwt_kurtosisValue_dec_32	TQWT Features-tqwt_kurtosisValue_dec_33	TQWT Features-tqwt_kurtosisValue_dec_34	TQWT Features-tqwt_kurtosisValue_dec_35	TQWT Features-tqwt_kurtosisValue_dec_36	class
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3	1	0	0.41121	0.79672	0.59257	178	177	0.010858	0.000183	0.00419	0.000046	0.00149	0.00268	0.00446	0.05451	0.527	0.02395	0.02857	0.04462	0.07185	0.968343	0.042003	19.865	76.306989	81.000749	79.190593	819.529588	1201.813897	3154.035654	4122.163933	238.667052	191.984916	573.752909	526.147599	0.98548	139.5744	1.6961	0.83405	0.17295	0.147370	1932289.206	1.6717	3.0293	0.000196	0.000194	0.45452	79.0921	161.1054	1.2369	1.2986	83.6201	5.0784	35.8179	0.23529	4.2629	0.17510	9.8453	13.7399	6.7365	3.1023	0.75419	-1.55900	-1.0083	-0.65556	0.86495	1.48370	-0.153650	-0.89378	-0.754270	0.077452	-0.000720	-0.007600	0.001532	0.000650	0.001284	-0.000516	0.001438	0.000310	-0.001449	-0.000706	0.000487	-0.002997	-0.000970	0.001058	-0.000112	0.000653	-0.001144	0.000094	0.000218	0.000617	-0.000823	0.000195	0.000263	-0.000232	0.000467	0.000103	-0.000132	-0.000080	0.21182	1.07120	0.70803	0.59415	0.38868	0.27861	0.31571	0.20935	0.23498	0.24529	0.19689	0.20629	0.20627	0.25169	0.039296	0.18326	0.099350	0.072753	0.046507	0.046017	0.045901	0.035774	0.035142	0.032577	0.024291	0.032300	0.029051	0.037164	0.015560	0.074119	0.040403	0.030155	0.019442	0.018382	0.018555	0.017274	0.016129	0.015533	0.011976	0.015529	0.013770	0.015713	99.0823	8.545600e-03	2.058600e-02	0.025449	0.041488	0.062341	0.090279	0.133310	0.234650	0.067636	0.233380	-97087.3060	-279305.8601	-347307.97100	-6.050877e+05	-1.018351e+06	-1.571526e+06	-2.432333e+06	-4.520939e+06	-1.187850e+06	-4.571330e+06	-328.3795	105.9933	118.3538	145.1279	127.0736	115.1613	99.4862	102.5224	94.2247	109.5148	129.933600	383.699000	1077.80440	2857.1343	3233.2456	8715.5558	12621.05520	41833.392000	7594.75480	37684.4579	432.370800	1682.659500	2707.54150	5456.4506	10590.0428	18444.5045	26794.43720	61373.06100	16630.27430	72647.0576	-44854174.87	-50479679.82	-60032621.59	-7.660933e+07	-109696232.2	-176812107.4	-330129338.5	-625193831.3	-1.306602e+09	-2722133496	1114.4630	669.4187	440.8719	318.0211	257.2300	229.4475	226.5624	222.5964	233.0128	243.4450	1901.8331	4692.7977	10378.0764	22556.3120	44691.4166	97623.3041	184765.6410	377576.4933	7.358128e+05	1507172.433	11489.6961	27458.8885	60867.3395	110362.2373	200062.7545	314057.2871	7.030022e+05	1002359.597	2359863.040	4011147.820	99.9734	2.475100e-04	5.856900e-04	7.364100e-04	1.226000e-03	0.001834	2.571300e-03	3.857800e-03	6.725900e-03	1.920600e-03	6.912400e-03	2.495600	3.469100	4.182000	4.604900	0.663200	-3.994400	-12.521200	-34.856200	...	3.580000e-06	-3.380000e-06	-4.610000e-06	-9.200000e-06	-1.100000e-06	0.000037	-0.000018	-0.000043	1.620000e-06	-7.110000e-05	0.000644	-0.000502	-0.000005	0.000458	-8.971200e-04	0.000240	0.001378	2.527000e-03	-2.344000e-04	-4.017500e-04	-0.003730	0.002295	1.105400e-03	-0.000034	0.000873	0.000256	-6.247100e-04	0.001806	0.001014	0.001869	-0.000313	0.000906	-0.003407	-4.480000e-21	1.210000e-20	-1.120000e-20	-5.400000e-21	-7.100000e-21	-1.410000e-20	-8.810000e-21	2.490000e-20	2.940000e-20	1.220000e-21	5.630000e-20	-3.160000e-20	2.560000e-19	-1.230000e-18	-9.090000e-20	5.090000e-20	-1.070000e-19	-2.800000e-19	-1.260000e-19	1.430000e-19	7.780000e-19	-2.170000e-19	2.870000e-18	-6.250000e-20	2.830000e-18	-2.340000e-18	5.940000e-19	-1.620000e-18	4.660000e-19	-2.060000e-18	5.040000e-19	5.730000e-19	-2.420000e-19	2.430000e-20	-5.540000e-19	0.001251	0.001587	0.001564	0.001716	0.002003	0.002512	0.002267	0.003178	0.004850	0.005975	0.005234	0.004537	0.016104	0.051620	0.107080	0.158720	0.198390	0.194870	0.16829	0.14238	0.170260	0.239650	0.232180	0.40929	0.891050	1.156400	0.56424	0.108530	0.20058	0.233870	0.114790	0.049383	0.044040	0.038407	0.037596	0.036562	0.097670	-0.083880	-0.042498	-0.048721	-0.051463	-0.060416	-0.069825	-0.078876	-0.089012	-0.099344	-0.110820	-0.121640	-0.129990	-0.268930	-0.586380	-0.84814	-0.91013	-0.82669	-0.65225	-0.52657	-0.41462	-0.54714	-0.68398	-1.02680	-2.09730	-2.36090	-1.27240	-0.66787	-0.70187	-0.671820	-0.506900	-0.358560	-0.175740	-0.154480	-0.111170	-0.184540	-0.310740	0.120480	0.056334	0.053598	0.059935	0.067180	0.076199	0.083617	0.088373	0.103800	0.117990	0.111290	0.122970	0.273530	0.567740	0.83417	0.94236	0.87739	0.76014	0.50019	0.39757	0.55106	0.61714	0.95174	2.13880	2.38800	1.23460	0.59222	0.68665	0.676480	0.486490	0.254560	0.154360	0.133160	0.161530	0.120000	0.440710	4.27060	0.616730	6.455000e-02	0.273230	2.917600e-02	0.179870	0.156260	-1.866300e-02	-0.014528	0.051052	0.022622	-3.042800e-02	3.480400e-02	0.000153	0.009561	1.837600e-03	9.035600e-03	1.939000e-03	0.052791	-1.296300e-03	-1.281100e-03	-1.408200e-02	-1.239600e-03	4.244100e-03	9.940000e-05	-1.795500e-02	-0.073310	0.027619	0.005381	-1.773300e-02	-0.767920	-0.13315	-0.367170	0.366920	-0.492650	0.19164	591.0116	65.3827	53.9852	45.4458	34.6650	88.3259	46.6869	23.2911	19.2022	42.3957	100.3649	7.1967	6.3892	6.5496	6.0264	4.7656	4.8909	4.2531	3.0295	2.0362	1.8478	2.5776	2.2064	1.9491	1.9120	1.8829	6.9761	3.7805	3.5664	5.2558	14.0403	4.2235	4.6857	4.8460	6.2650	4.0603	1
4	1	0	0.32790	0.79782	0.53028	236	235	0.008162	0.002669	0.00535	0.000044	0.00166	0.00227	0.00499	0.05610	0.497	0.02909	0.03327	0.05278	0.08728	0.975754	0.027139	19.557	76.645686	80.937258	79.183495	846.796144	1215.346469	3201.513132	4085.456839	402.216738	210.061394	203.637106	384.611697	0.97847	102.0549	15.4045	0.83556	0.16210	0.151990	1861807.802	1.6781	3.0362	0.000281	0.000175	0.71541	53.6764	164.4029	1.2360	1.3156	102.9371	5.6022	31.5211	0.30603	6.3500	0.21877	10.1542	14.7643	6.4634	2.9451	0.83210	-1.75500	-1.0392	-0.51876	0.94225	1.54980	-0.202080	-1.03360	-0.880070	-0.103460	0.001995	-0.000891	-0.001809	0.004247	-0.000704	-0.001753	0.000913	0.004485	-0.003392	-0.001008	0.001829	-0.001250	-0.000751	-0.001325	-0.000211	-0.001466	0.000946	0.000365	-0.000235	-0.000170	0.000646	-0.000398	0.000256	0.000576	-0.000285	0.000177	0.000140	0.000035	0.17405	0.81706	0.43786	0.43213	0.26670	0.29672	0.19240	0.22488	0.25130	0.22090	0.17459	0.23269	0.20141	0.21294	0.028652	0.17084	0.064960	0.069561	0.046887	0.047531	0.033966	0.029721	0.033943	0.031989	0.026002	0.028222	0.030469	0.028731	0.011037	0.069915	0.026953	0.030160	0.022486	0.020515	0.017161	0.013791	0.016059	0.014382	0.012686	0.014478	0.013402	0.013618	98.6930	7.861100e-03	1.123800e-02	0.014564	0.055365	0.030612	0.057492	0.113500	0.123360	0.101750	0.791240	-115393.5436	-173099.5546	-235961.64100	-1.054960e+06	-5.759867e+05	-1.170598e+06	-2.613414e+06	-2.797297e+06	-2.228969e+06	-2.089139e+07	-231.7629	67.8393	141.8058	177.2765	129.2619	103.6704	101.5425	100.3828	112.0031	138.1052	113.394700	380.627700	869.24010	4307.7861	3436.9623	5521.4215	13703.59560	9676.360300	13545.68690	134568.1745	437.941800	933.581200	1522.96350	7995.9587	6601.1111	14594.4305	35910.80060	42206.54280	22655.66220	228423.4102	-59737876.86	-66995068.86	-80313780.59	-1.003577e+08	-140671395.9	-225887933.1	-425927317.4	-786450935.2	-1.640684e+09	-3391441982	1150.7588	687.9315	451.0732	323.8359	260.5085	231.7202	228.6784	224.1464	234.5705	245.0186	1921.2283	5938.5628	16402.1087	37106.4026	87904.0887	189806.4877	404982.5071	853765.7904	1.713112e+06	3158402.899	11366.1022	29064.1478	72348.0929	140910.6033	318496.1060	713080.2915	1.119327e+06	2556027.478	4504909.124	8579124.177	99.9541	2.686400e-04	3.879400e-04	4.966200e-04	1.928400e-03	0.001070	1.999400e-03	4.102300e-03	4.380400e-03	3.616600e-03	2.765900e-02	2.482600	3.110000	3.341000	3.901600	2.594700	-0.122650	-18.428700	-16.834000	...	-6.300000e-07	1.600000e-09	-7.060000e-06	-6.170000e-06	-1.360000e-07	0.000015	-0.000027	-0.000006	-2.640000e-05	-9.270000e-05	-0.000317	-0.000833	0.000120	-0.000160	-1.372500e-04	0.000346	0.000844	2.147300e-03	2.843900e-03	2.721900e-04	-0.002351	0.017662	8.909500e-03	0.000374	-0.000449	-0.000794	-4.292000e-04	0.000482	-0.000885	-0.000391	0.000663	-0.000291	-0.003433	-1.800000e-21	5.240000e-21	-2.460000e-21	-2.700000e-21	5.720000e-21	3.670000e-21	2.640000e-22	-1.030000e-20	-1.170000e-20	-1.830000e-21	1.280000e-20	-3.590000e-20	1.020000e-19	-3.110000e-19	-5.820000e-19	2.640000e-19	1.310000e-19	-3.300000e-19	1.090000e-18	-2.040000e-19	-1.700000e-18	1.770000e-18	1.110000e-18	-1.220000e-18	-1.950000e-18	-8.110000e-19	1.280000e-19	-2.430000e-20	-3.160000e-20	1.400000e-19	-1.120000e-19	-1.180000e-19	-4.030000e-20	1.880000e-19	-2.190000e-20	0.000367	0.001478	0.001725	0.002077	0.002099	0.002526	0.002303	0.002850	0.004911	0.006632	0.005222	0.003931	0.015422	0.051298	0.111210	0.169000	0.197900	0.172300	0.14848	0.14000	0.171210	0.249550	0.206070	0.37040	0.888380	1.187900	0.59964	0.080751	0.14038	0.160080	0.078323	0.044103	0.044263	0.040032	0.028778	0.026253	0.106320	-0.039576	-0.020694	-0.024406	-0.024440	-0.032103	-0.033566	-0.037229	-0.049975	-0.056474	-0.066787	-0.078138	-0.115900	-0.227210	-0.505800	-0.86047	-0.93465	-0.77137	-0.62996	-0.45541	-0.46073	-0.56218	-0.55034	-1.00870	-1.74840	-2.28820	-1.18590	-0.42028	-0.52318	-0.575900	-0.365840	-0.142190	-0.204260	-0.221940	-0.148020	-0.113320	-0.406580	0.059090	0.026789	0.021314	0.027942	0.028856	0.036384	0.038050	0.049211	0.060046	0.072172	0.086621	0.102950	0.235860	0.567490	0.74186	0.75783	0.80918	0.58794	0.44788	0.46352	0.63134	0.55267	1.04250	1.74970	2.28370	1.35380	0.49868	0.57971	0.623640	0.384470	0.189870	0.206310	0.209420	0.135500	0.092719	0.445130	0.39147	0.032907	-4.187600e-03	0.005982	-1.890000e-02	-0.037698	-0.114170	-1.775300e-02	-0.009927	-0.010845	0.115230	7.083800e-03	1.791500e-02	0.006910	-0.005165	-4.920000e-03	-5.740400e-03	-3.680500e-03	-0.017182	-5.397100e-03	3.441400e-03	1.298500e-03	3.069000e-03	7.456300e-04	4.850000e-05	5.015800e-02	0.011784	0.011756	-0.008074	-1.896400e-02	0.419690	0.29168	-0.071687	-0.378360	-0.035805	0.26596	32.0393	7.2343	6.5540	6.4520	6.9274	10.2265	14.2579	10.6181	8.6143	9.5822	34.0835	4.1139	3.6718	4.4360	4.5793	3.9447	4.1253	3.4869	2.4627	2.1073	1.9056	2.2214	2.0588	1.8157	1.7577	1.8821	7.8832	6.1727	5.8416	6.0805	5.7621	7.7817	11.6891	8.2103	5.0559	6.1164	1

	-id	-gender	Baseline Features-PPE	Baseline Features-DFA	Baseline Features-RPDE	Baseline Features-numPulses	Baseline Features-numPeriodsPulses	Baseline Features-meanPeriodPulses	Baseline Features-stdDevPeriodPulses	Baseline Features-locPctJitter	Baseline Features-locAbsJitter	Baseline Features-rapJitter	Baseline Features-ppq5Jitter	Baseline Features-ddpJitter	Baseline Features-locShimmer	Baseline Features-locDbShimmer	Baseline Features-apq3Shimmer	Baseline Features-apq5Shimmer	Baseline Features-apq11Shimmer	Baseline Features-ddaShimmer	Baseline Features-meanAutoCorrHarmonicity	Baseline Features-meanNoiseToHarmHarmonicity	Baseline Features-meanHarmToNoiseHarmonicity	Intensity Parameters-minIntensity	Intensity Parameters-maxIntensity	Intensity Parameters-meanIntensity	Formant Frequencies-f1	Formant Frequencies-f2	Formant Frequencies-f3	Formant Frequencies-f4	Bandwidth Parameters-b1	Bandwidth Parameters-b2	Bandwidth Parameters-b3	Bandwidth Parameters-b4	Vocal Fold-GQ_prc5_95	Vocal Fold-GQ_std_cycle_open	Vocal Fold-GQ_std_cycle_closed	Vocal Fold-GNE_mean	Vocal Fold-GNE_std	Vocal Fold-GNE_SNR_TKEO	Vocal Fold-GNE_SNR_SEO	Vocal Fold-GNE_NSR_TKEO	Vocal Fold-GNE_NSR_SEO	Vocal Fold-VFER_mean	Vocal Fold-VFER_std	Vocal Fold-VFER_entropy	Vocal Fold-VFER_SNR_TKEO	Vocal Fold-VFER_SNR_SEO	Vocal Fold-VFER_NSR_TKEO	Vocal Fold-VFER_NSR_SEO	Vocal Fold-IMF_SNR_SEO	Vocal Fold-IMF_SNR_TKEO	Vocal Fold-IMF_SNR_entropy	Vocal Fold-IMF_NSR_SEO	Vocal Fold-IMF_NSR_TKEO	Vocal Fold-IMF_NSR_entropy	MFCC -mean_Log_energy	MFCC -mean_MFCC_0th_coef	MFCC -mean_MFCC_1st_coef	MFCC -mean_MFCC_2nd_coef	MFCC -mean_MFCC_3rd_coef	MFCC -mean_MFCC_4th_coef	MFCC -mean_MFCC_5th_coef	MFCC -mean_MFCC_6th_coef	MFCC -mean_MFCC_7th_coef	MFCC -mean_MFCC_8th_coef	MFCC -mean_MFCC_9th_coef	MFCC -mean_MFCC_10th_coef	MFCC -mean_MFCC_11th_coef	MFCC -mean_MFCC_12th_coef	MFCC -mean_delta_log_energy	MFCC -mean_0th_delta	MFCC -mean_1st_delta	MFCC -mean_2nd_delta	MFCC -mean_3rd_delta	MFCC -mean_4th_delta	MFCC -mean_5th_delta	MFCC -mean_6th_delta	MFCC -mean_7th_delta	MFCC -mean_8th_delta	MFCC -mean_9th_delta	MFCC -mean_10th_delta	MFCC -mean_11th_delta	MFCC -mean_12th_delta	MFCC -mean_delta_delta_log_energy	MFCC -mean_delta_delta_0th	MFCC -mean_1st_delta_delta	MFCC -mean_2nd_delta_delta	MFCC -mean_3rd_delta_delta	MFCC -mean_4th_delta_delta	MFCC -mean_5th_delta_delta	MFCC -mean_6th_delta_delta	MFCC -mean_7th_delta_delta	MFCC -mean_8th_delta_delta	MFCC -mean_9th_delta_delta	MFCC -mean_10th_delta_delta	MFCC -mean_11th_delta_delta	MFCC -mean_12th_delta_delta	MFCC -std_Log_energy	MFCC -std_MFCC_0th_coef	MFCC -std_MFCC_1st_coef	MFCC -std_MFCC_2nd_coef	MFCC -std_MFCC_3rd_coef	MFCC -std_MFCC_4th_coef	MFCC -std_MFCC_5th_coef	MFCC -std_MFCC_6th_coef	MFCC -std_MFCC_7th_coef	MFCC -std_MFCC_8th_coef	MFCC -std_MFCC_9th_coef	MFCC -std_MFCC_10th_coef	MFCC -std_MFCC_11th_coef	MFCC -std_MFCC_12th_coef	MFCC -std_delta_log_energy	MFCC -std_0th_delta	MFCC -std_1st_delta	MFCC -std_2nd_delta	MFCC -std_3rd_delta	MFCC -std_4th_delta	MFCC -std_5th_delta	MFCC -std_6th_delta	MFCC -std_7th_delta	MFCC -std_8th_delta	MFCC -std_9th_delta	MFCC -std_10th_delta	MFCC -std_11th_delta	MFCC -std_12th_delta	MFCC -std_delta_delta_log_energy	MFCC -std_delta_delta_0th	MFCC -std_1st_delta_delta	MFCC -std_2nd_delta_delta	MFCC -std_3rd_delta_delta	MFCC -std_4th_delta_delta	MFCC -std_5th_delta_delta	MFCC -std_6th_delta_delta	MFCC -std_7th_delta_delta	MFCC -std_8th_delta_delta	MFCC -std_9th_delta_delta	MFCC -std_10th_delta_delta	MFCC -std_11th_delta_delta	MFCC -std_12th_delta_delta	Wavelet Features-Ea	Wavelet Features-Ed_1_coef	Wavelet Features-Ed_2_coef	Wavelet Features-Ed_3_coef	Wavelet Features-Ed_4_coef	Wavelet Features-Ed_5_coef	Wavelet Features-Ed_6_coef	Wavelet Features-Ed_7_coef	Wavelet Features-Ed_8_coef	Wavelet Features-Ed_9_coef	Wavelet Features-Ed_10_coef	Wavelet Features-det_entropy_shannon_1_coef	Wavelet Features-det_entropy_shannon_2_coef	Wavelet Features-det_entropy_shannon_3_coef	Wavelet Features-det_entropy_shannon_4_coef	Wavelet Features-det_entropy_shannon_5_coef	Wavelet Features-det_entropy_shannon_6_coef	Wavelet Features-det_entropy_shannon_7_coef	Wavelet Features-det_entropy_shannon_8_coef	Wavelet Features-det_entropy_shannon_9_coef	Wavelet Features-det_entropy_shannon_10_coef	Wavelet Features-det_entropy_log_1_coef	Wavelet Features-det_entropy_log_2_coef	Wavelet Features-det_entropy_log_3_coef	Wavelet Features-det_entropy_log_4_coef	Wavelet Features-det_entropy_log_5_coef	Wavelet Features-det_entropy_log_6_coef	Wavelet Features-det_entropy_log_7_coef	Wavelet Features-det_entropy_log_8_coef	Wavelet Features-det_entropy_log_9_coef	Wavelet Features-det_entropy_log_10_coef	Wavelet Features-det_TKEO_mean_1_coef	Wavelet Features-det_TKEO_mean_2_coef	Wavelet Features-det_TKEO_mean_3_coef	Wavelet Features-det_TKEO_mean_4_coef	Wavelet Features-det_TKEO_mean_5_coef	Wavelet Features-det_TKEO_mean_6_coef	Wavelet Features-det_TKEO_mean_7_coef	Wavelet Features-det_TKEO_mean_8_coef	Wavelet Features-det_TKEO_mean_9_coef	Wavelet Features-det_TKEO_mean_10_coef	Wavelet Features-det_TKEO_std_1_coef	Wavelet Features-det_TKEO_std_2_coef	Wavelet Features-det_TKEO_std_3_coef	Wavelet Features-det_TKEO_std_4_coef	Wavelet Features-det_TKEO_std_5_coef	Wavelet Features-det_TKEO_std_6_coef	Wavelet Features-det_TKEO_std_7_coef	Wavelet Features-det_TKEO_std_8_coef	Wavelet Features-det_TKEO_std_9_coef	Wavelet Features-det_TKEO_std_10_coef	Wavelet Features-app_entropy_shannon_1_coef	Wavelet Features-app_entropy_shannon_2_coef	Wavelet Features-app_entropy_shannon_3_coef	Wavelet Features-app_entropy_shannon_4_coef	Wavelet Features-app_entropy_shannon_5_coef	Wavelet Features-app_entropy_shannon_6_coef	Wavelet Features-app_entropy_shannon_7_coef	Wavelet Features-app_entropy_shannon_8_coef	Wavelet Features-app_entropy_shannon_9_coef	Wavelet Features-app_entropy_shannon_10_coef	Wavelet Features-app_entropy_log_1_coef	Wavelet Features-app_entropy_log_2_coef	Wavelet Features-app_entropy_log_3_coef	Wavelet Features-app_entropy_log_4_coef	Wavelet Features-app_entropy_log_5_coef	Wavelet Features-app_entropy_log_6_coef	Wavelet Features-app_entropy_log_7_coef	Wavelet Features-app_entropy_log_8_coef	Wavelet Features-app_entropy_log_9_coef	Wavelet Features-app_entropy_log_10_coef	Wavelet Features-app_det_TKEO_mean_1_coef	Wavelet Features-app_det_TKEO_mean_2_coef	Wavelet Features-app_det_TKEO_mean_3_coef	Wavelet Features-app_det_TKEO_mean_4_coef	Wavelet Features-app_det_TKEO_mean_5_coef	Wavelet Features-app_det_TKEO_mean_6_coef	Wavelet Features-app_det_TKEO_mean_7_coef	Wavelet Features-app_det_TKEO_mean_8_coef	Wavelet Features-app_det_TKEO_mean_9_coef	Wavelet Features-app_det_TKEO_mean_10_coef	Wavelet Features-app_TKEO_std_1_coef	Wavelet Features-app_TKEO_std_2_coef	Wavelet Features-app_TKEO_std_3_coef	Wavelet Features-app_TKEO_std_4_coef	Wavelet Features-app_TKEO_std_5_coef	Wavelet Features-app_TKEO_std_6_coef	Wavelet Features-app_TKEO_std_7_coef	Wavelet Features-app_TKEO_std_8_coef	Wavelet Features-app_TKEO_std_9_coef	Wavelet Features-app_TKEO_std_10_coef	Wavelet Features-Ea2	Wavelet Features-Ed2_1_coef	Wavelet Features-Ed2_2_coef	Wavelet Features-Ed2_3_coef	Wavelet Features-Ed2_4_coef	Wavelet Features-Ed2_5_coef	Wavelet Features-Ed2_6_coef	Wavelet Features-Ed2_7_coef	Wavelet Features-Ed2_8_coef	Wavelet Features-Ed2_9_coef	Wavelet Features-Ed2_10_coef	Wavelet Features-det_LT_entropy_shannon_1_coef	Wavelet Features-det_LT_entropy_shannon_2_coef	Wavelet Features-det_LT_entropy_shannon_3_coef	Wavelet Features-det_LT_entropy_shannon_4_coef	Wavelet Features-det_LT_entropy_shannon_5_coef	Wavelet Features-det_LT_entropy_shannon_6_coef	Wavelet Features-det_LT_entropy_shannon_7_coef	Wavelet Features-det_LT_entropy_shannon_8_coef	...	TQWT Features-tqwt_medianValue_dec_4	TQWT Features-tqwt_medianValue_dec_5	TQWT Features-tqwt_medianValue_dec_6	TQWT Features-tqwt_medianValue_dec_7	TQWT Features-tqwt_medianValue_dec_8	TQWT Features-tqwt_medianValue_dec_9	TQWT Features-tqwt_medianValue_dec_10	TQWT Features-tqwt_medianValue_dec_11	TQWT Features-tqwt_medianValue_dec_12	TQWT Features-tqwt_medianValue_dec_13	TQWT Features-tqwt_medianValue_dec_14	TQWT Features-tqwt_medianValue_dec_15	TQWT Features-tqwt_medianValue_dec_16	TQWT Features-tqwt_medianValue_dec_17	TQWT Features-tqwt_medianValue_dec_18	TQWT Features-tqwt_medianValue_dec_19	TQWT Features-tqwt_medianValue_dec_20	TQWT Features-tqwt_medianValue_dec_21	TQWT Features-tqwt_medianValue_dec_22	TQWT Features-tqwt_medianValue_dec_23	TQWT Features-tqwt_medianValue_dec_24	TQWT Features-tqwt_medianValue_dec_25	TQWT Features-tqwt_medianValue_dec_26	TQWT Features-tqwt_medianValue_dec_27	TQWT Features-tqwt_medianValue_dec_28	TQWT Features-tqwt_medianValue_dec_29	TQWT Features-tqwt_medianValue_dec_30	TQWT Features-tqwt_medianValue_dec_31	TQWT Features-tqwt_medianValue_dec_32	TQWT Features-tqwt_medianValue_dec_33	TQWT Features-tqwt_medianValue_dec_34	TQWT Features-tqwt_medianValue_dec_35	TQWT Features-tqwt_medianValue_dec_36	TQWT Features-tqwt_meanValue_dec_1	TQWT Features-tqwt_meanValue_dec_2	TQWT Features-tqwt_meanValue_dec_3	TQWT Features-tqwt_meanValue_dec_4	TQWT Features-tqwt_meanValue_dec_5	TQWT Features-tqwt_meanValue_dec_6	TQWT Features-tqwt_meanValue_dec_7	TQWT Features-tqwt_meanValue_dec_8	TQWT Features-tqwt_meanValue_dec_9	TQWT Features-tqwt_meanValue_dec_10	TQWT Features-tqwt_meanValue_dec_11	TQWT Features-tqwt_meanValue_dec_12	TQWT Features-tqwt_meanValue_dec_13	TQWT Features-tqwt_meanValue_dec_14	TQWT Features-tqwt_meanValue_dec_15	TQWT Features-tqwt_meanValue_dec_16	TQWT Features-tqwt_meanValue_dec_17	TQWT Features-tqwt_meanValue_dec_18	TQWT Features-tqwt_meanValue_dec_19	TQWT Features-tqwt_meanValue_dec_20	TQWT Features-tqwt_meanValue_dec_21	TQWT Features-tqwt_meanValue_dec_22	TQWT Features-tqwt_meanValue_dec_23	TQWT Features-tqwt_meanValue_dec_24	TQWT Features-tqwt_meanValue_dec_25	TQWT Features-tqwt_meanValue_dec_26	TQWT Features-tqwt_meanValue_dec_27	TQWT Features-tqwt_meanValue_dec_28	TQWT Features-tqwt_meanValue_dec_29	TQWT Features-tqwt_meanValue_dec_30	TQWT Features-tqwt_meanValue_dec_31	TQWT Features-tqwt_meanValue_dec_32	TQWT Features-tqwt_meanValue_dec_33	TQWT Features-tqwt_meanValue_dec_34	TQWT Features-tqwt_meanValue_dec_35	TQWT Features-tqwt_meanValue_dec_36	TQWT Features-tqwt_stdValue_dec_1	TQWT Features-tqwt_stdValue_dec_2	TQWT Features-tqwt_stdValue_dec_3	TQWT Features-tqwt_stdValue_dec_4	TQWT Features-tqwt_stdValue_dec_5	TQWT Features-tqwt_stdValue_dec_6	TQWT Features-tqwt_stdValue_dec_7	TQWT Features-tqwt_stdValue_dec_8	TQWT Features-tqwt_stdValue_dec_9	TQWT Features-tqwt_stdValue_dec_10	TQWT Features-tqwt_stdValue_dec_11	TQWT Features-tqwt_stdValue_dec_12	TQWT Features-tqwt_stdValue_dec_13	TQWT Features-tqwt_stdValue_dec_14	TQWT Features-tqwt_stdValue_dec_15	TQWT Features-tqwt_stdValue_dec_16	TQWT Features-tqwt_stdValue_dec_17	TQWT Features-tqwt_stdValue_dec_18	TQWT Features-tqwt_stdValue_dec_19	TQWT Features-tqwt_stdValue_dec_20	TQWT Features-tqwt_stdValue_dec_21	TQWT Features-tqwt_stdValue_dec_22	TQWT Features-tqwt_stdValue_dec_23	TQWT Features-tqwt_stdValue_dec_24	TQWT Features-tqwt_stdValue_dec_25	TQWT Features-tqwt_stdValue_dec_26	TQWT Features-tqwt_stdValue_dec_27	TQWT Features-tqwt_stdValue_dec_28	TQWT Features-tqwt_stdValue_dec_29	TQWT Features-tqwt_stdValue_dec_30	TQWT Features-tqwt_stdValue_dec_31	TQWT Features-tqwt_stdValue_dec_32	TQWT Features-tqwt_stdValue_dec_33	TQWT Features-tqwt_stdValue_dec_34	TQWT Features-tqwt_stdValue_dec_35	TQWT Features-tqwt_stdValue_dec_36	TQWT Features-tqwt_minValue_dec_1	TQWT Features-tqwt_minValue_dec_2	TQWT Features-tqwt_minValue_dec_3	TQWT Features-tqwt_minValue_dec_4	TQWT Features-tqwt_minValue_dec_5	TQWT Features-tqwt_minValue_dec_6	TQWT Features-tqwt_minValue_dec_7	TQWT Features-tqwt_minValue_dec_8	TQWT Features-tqwt_minValue_dec_9	TQWT Features-tqwt_minValue_dec_10	TQWT Features-tqwt_minValue_dec_11	TQWT Features-tqwt_minValue_dec_12	TQWT Features-tqwt_minValue_dec_13	TQWT Features-tqwt_minValue_dec_14	TQWT Features-tqwt_minValue_dec_15	TQWT Features-tqwt_minValue_dec_16	TQWT Features-tqwt_minValue_dec_17	TQWT Features-tqwt_minValue_dec_18	TQWT Features-tqwt_minValue_dec_19	TQWT Features-tqwt_minValue_dec_20	TQWT Features-tqwt_minValue_dec_21	TQWT Features-tqwt_minValue_dec_22	TQWT Features-tqwt_minValue_dec_23	TQWT Features-tqwt_minValue_dec_24	TQWT Features-tqwt_minValue_dec_25	TQWT Features-tqwt_minValue_dec_26	TQWT Features-tqwt_minValue_dec_27	TQWT Features-tqwt_minValue_dec_28	TQWT Features-tqwt_minValue_dec_29	TQWT Features-tqwt_minValue_dec_30	TQWT Features-tqwt_minValue_dec_31	TQWT Features-tqwt_minValue_dec_32	TQWT Features-tqwt_minValue_dec_33	TQWT Features-tqwt_minValue_dec_34	TQWT Features-tqwt_minValue_dec_35	TQWT Features-tqwt_minValue_dec_36	TQWT Features-tqwt_maxValue_dec_1	TQWT Features-tqwt_maxValue_dec_2	TQWT Features-tqwt_maxValue_dec_3	TQWT Features-tqwt_maxValue_dec_4	TQWT Features-tqwt_maxValue_dec_5	TQWT Features-tqwt_maxValue_dec_6	TQWT Features-tqwt_maxValue_dec_7	TQWT Features-tqwt_maxValue_dec_8	TQWT Features-tqwt_maxValue_dec_9	TQWT Features-tqwt_maxValue_dec_10	TQWT Features-tqwt_maxValue_dec_11	TQWT Features-tqwt_maxValue_dec_12	TQWT Features-tqwt_maxValue_dec_13	TQWT Features-tqwt_maxValue_dec_14	TQWT Features-tqwt_maxValue_dec_15	TQWT Features-tqwt_maxValue_dec_16	TQWT Features-tqwt_maxValue_dec_17	TQWT Features-tqwt_maxValue_dec_18	TQWT Features-tqwt_maxValue_dec_19	TQWT Features-tqwt_maxValue_dec_20	TQWT Features-tqwt_maxValue_dec_21	TQWT Features-tqwt_maxValue_dec_22	TQWT Features-tqwt_maxValue_dec_23	TQWT Features-tqwt_maxValue_dec_24	TQWT Features-tqwt_maxValue_dec_25	TQWT Features-tqwt_maxValue_dec_26	TQWT Features-tqwt_maxValue_dec_27	TQWT Features-tqwt_maxValue_dec_28	TQWT Features-tqwt_maxValue_dec_29	TQWT Features-tqwt_maxValue_dec_30	TQWT Features-tqwt_maxValue_dec_31	TQWT Features-tqwt_maxValue_dec_32	TQWT Features-tqwt_maxValue_dec_33	TQWT Features-tqwt_maxValue_dec_34	TQWT Features-tqwt_maxValue_dec_35	TQWT Features-tqwt_maxValue_dec_36	TQWT Features-tqwt_skewnessValue_dec_1	TQWT Features-tqwt_skewnessValue_dec_2	TQWT Features-tqwt_skewnessValue_dec_3	TQWT Features-tqwt_skewnessValue_dec_4	TQWT Features-tqwt_skewnessValue_dec_5	TQWT Features-tqwt_skewnessValue_dec_6	TQWT Features-tqwt_skewnessValue_dec_7	TQWT Features-tqwt_skewnessValue_dec_8	TQWT Features-tqwt_skewnessValue_dec_9	TQWT Features-tqwt_skewnessValue_dec_10	TQWT Features-tqwt_skewnessValue_dec_11	TQWT Features-tqwt_skewnessValue_dec_12	TQWT Features-tqwt_skewnessValue_dec_13	TQWT Features-tqwt_skewnessValue_dec_14	TQWT Features-tqwt_skewnessValue_dec_15	TQWT Features-tqwt_skewnessValue_dec_16	TQWT Features-tqwt_skewnessValue_dec_17	TQWT Features-tqwt_skewnessValue_dec_18	TQWT Features-tqwt_skewnessValue_dec_19	TQWT Features-tqwt_skewnessValue_dec_20	TQWT Features-tqwt_skewnessValue_dec_21	TQWT Features-tqwt_skewnessValue_dec_22	TQWT Features-tqwt_skewnessValue_dec_23	TQWT Features-tqwt_skewnessValue_dec_24	TQWT Features-tqwt_skewnessValue_dec_25	TQWT Features-tqwt_skewnessValue_dec_26	TQWT Features-tqwt_skewnessValue_dec_27	TQWT Features-tqwt_skewnessValue_dec_28	TQWT Features-tqwt_skewnessValue_dec_29	TQWT Features-tqwt_skewnessValue_dec_30	TQWT Features-tqwt_skewnessValue_dec_31	TQWT Features-tqwt_skewnessValue_dec_32	TQWT Features-tqwt_skewnessValue_dec_33	TQWT Features-tqwt_skewnessValue_dec_34	TQWT Features-tqwt_skewnessValue_dec_35	TQWT Features-tqwt_skewnessValue_dec_36	TQWT Features-tqwt_kurtosisValue_dec_1	TQWT Features-tqwt_kurtosisValue_dec_2	TQWT Features-tqwt_kurtosisValue_dec_3	TQWT Features-tqwt_kurtosisValue_dec_4	TQWT Features-tqwt_kurtosisValue_dec_5	TQWT Features-tqwt_kurtosisValue_dec_6	TQWT Features-tqwt_kurtosisValue_dec_7	TQWT Features-tqwt_kurtosisValue_dec_8	TQWT Features-tqwt_kurtosisValue_dec_9	TQWT Features-tqwt_kurtosisValue_dec_10	TQWT Features-tqwt_kurtosisValue_dec_11	TQWT Features-tqwt_kurtosisValue_dec_12	TQWT Features-tqwt_kurtosisValue_dec_13	TQWT Features-tqwt_kurtosisValue_dec_14	TQWT Features-tqwt_kurtosisValue_dec_15	TQWT Features-tqwt_kurtosisValue_dec_16	TQWT Features-tqwt_kurtosisValue_dec_17	TQWT Features-tqwt_kurtosisValue_dec_18	TQWT Features-tqwt_kurtosisValue_dec_19	TQWT Features-tqwt_kurtosisValue_dec_20	TQWT Features-tqwt_kurtosisValue_dec_21	TQWT Features-tqwt_kurtosisValue_dec_22	TQWT Features-tqwt_kurtosisValue_dec_23	TQWT Features-tqwt_kurtosisValue_dec_24	TQWT Features-tqwt_kurtosisValue_dec_25	TQWT Features-tqwt_kurtosisValue_dec_26	TQWT Features-tqwt_kurtosisValue_dec_27	TQWT Features-tqwt_kurtosisValue_dec_28	TQWT Features-tqwt_kurtosisValue_dec_29	TQWT Features-tqwt_kurtosisValue_dec_30	TQWT Features-tqwt_kurtosisValue_dec_31	TQWT Features-tqwt_kurtosisValue_dec_32	TQWT Features-tqwt_kurtosisValue_dec_33	TQWT Features-tqwt_kurtosisValue_dec_34	TQWT Features-tqwt_kurtosisValue_dec_35	TQWT Features-tqwt_kurtosisValue_dec_36	class
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2	0	1	0.617541	-0.349607	0.733124	-0.926961	-0.922296	1.083858	-0.443263	-0.214774	-0.088812	-0.035681	-0.029204	-0.035719	0.734174	0.759549	0.740638	0.875955	0.658639	0.740643	0.208094	-0.237316	-0.216738	-0.921953	-0.698341	-0.842180	-0.731561	-1.191349	-0.520189	0.376208	-0.172572	-0.538714	-0.510546	-0.641573	-0.583404	-0.172396	-0.240302	-0.692703	-0.433636	-0.465205	-0.884386	-0.258233	0.197193	-0.545244	-0.562711	-0.541623	1.058605	0.506729	0.422339	0.484100	0.001538	4.003505	2.640723	0.314210	-0.736153	-0.217456	-1.440611	-1.572483	0.828788	1.175062	-0.417364	1.351904	-0.887705	-0.366273	0.732639	0.126565	0.082772	1.995160	1.016646	-0.860722	0.440891	-0.312694	0.613065	1.287040	-0.358413	0.000542	-0.257692	-0.055321	-0.941993	0.022045	1.176453	0.032044	-0.012004	-0.273929	0.894026	0.126350	0.407768	1.334294	-0.299125	-1.397684	0.007416	-1.330928	-0.945898	-0.140563	0.752679	-0.070492	-0.540697	-0.975658	0.821222	0.037326	-0.129202	1.507313	-0.643828	0.479717	-0.249939	-0.254636	-0.091620	-0.807127	-0.232412	-0.606682	-0.633985	-0.509334	2.424579	0.671980	0.593862	4.066032	-0.412013	2.152605	0.885577	0.668322	0.733441	-0.556502	0.911569	-0.436214	0.174071	0.568948	2.796591	1.007770	0.300922	3.793437	-0.096720	1.689876	0.483509	0.509918	0.836212	-0.343236	1.057565	-0.069886	-0.319453	0.096557	0.221990	-0.101479	-0.111643	-0.121936	-0.180228	-0.156808	-0.217485	-0.189888	-0.186738	-0.164483	-0.204026	0.113121	0.123253	0.124492	0.191802	0.189030	0.200129	0.136114	0.134304	0.211953	0.163950	-0.853407	-1.030480	-0.445807	-0.876528	-1.009870	-1.090384	-1.532015	-1.892754	-1.968391	-1.878681	-0.123794	-0.142974	-0.124746	-0.205211	-0.197734	-0.217053	-0.166122	-0.142043	-0.230422	-0.173260	-0.153739	-0.165247	-0.193024	-0.229908	-0.199612	-0.217935	-0.149712	-0.141388	-0.234666	-0.166967	0.899983	0.907161	0.915753	0.925290	0.933371	0.939374	0.941568	0.944101	0.945009	0.945523	-0.865712	-0.904490	-0.972428	-1.077011	-1.175453	-1.231690	-1.241276	-1.270582	-1.270897	-1.272264	-0.654849	-0.854536	-0.948428	-0.970571	-0.964316	-0.965181	-0.967507	-0.966300	-0.966944	-0.965677	-0.737458	-0.880410	-0.921942	-0.990067	-0.973874	-0.967945	-0.958477	-0.966714	-0.973151	-0.969471	0.236765	-0.153875	-0.174971	-0.188578	-0.236857	-0.220523	-0.236590	-0.201328	-0.197410	-0.211270	-0.182799	-0.241543	-0.312281	-0.233057	-0.017496	0.028674	0.098858	0.062014	0.132971	...	-0.011112	0.007831	0.021971	-0.254895	0.029037	0.090685	-0.048135	0.131830	0.034952	-0.020298	0.032118	0.111296	-0.028906	-0.103196	0.041128	-0.294906	-0.062056	0.020162	0.076512	-0.026757	0.040145	-0.084353	0.012297	0.390444	-0.329577	0.058288	-0.020750	0.063891	0.002799	-0.012220	-0.075865	0.046892	-1.121043	0.211126	-0.085315	-0.033454	-0.186635	-0.010182	0.195393	-0.276200	-0.013747	-0.039654	0.232059	-0.004084	0.003061	-0.038929	-0.265562	0.203883	-0.191550	-0.183572	0.912083	-1.336359	-0.166603	0.169094	0.119340	0.549069	0.219733	0.062595	-0.114331	-0.908455	1.201241	0.186695	0.034228	-0.090217	0.000010	0.059704	0.144591	0.057081	-1.161734	-0.798922	-0.833682	-0.847747	-0.818624	-0.753074	-0.763066	-0.802289	-0.804703	-0.957823	-0.912000	-0.735650	-0.756903	-0.858301	-0.913760	-0.866334	-0.903924	-0.896186	-0.623203	-0.445453	-0.655683	-1.011375	-0.995350	-0.714466	-0.800113	-0.918101	-0.480394	0.106915	0.272354	-0.151179	-0.357671	-0.524934	-0.443510	-0.378757	-0.471775	-0.510333	-0.599686	0.782666	0.837946	0.879286	0.866524	0.808415	0.754133	0.953646	1.002475	1.057535	1.022240	0.911052	0.906696	0.979038	1.022532	0.891983	0.894917	0.872066	0.450950	0.312136	0.713086	0.997655	1.069512	0.856415	0.783166	0.736503	0.586334	0.126745	0.019929	0.347519	0.511756	0.609110	0.531119	0.524642	0.580642	0.569497	0.564699	-0.966890	-0.959279	-0.892977	-0.917126	-0.811376	-0.830629	-1.019201	-1.007114	-1.095104	-1.104087	-1.012128	-0.905392	-0.984354	-1.020189	-0.826352	-0.888390	-0.871506	-0.452467	-0.320888	-0.714205	-0.997221	-1.073804	-0.864618	-0.787979	-0.736994	-0.585620	-0.104866	-0.010014	-0.316897	-0.506986	-0.570193	-0.534181	-0.504021	-0.568983	-0.556609	-0.579027	-0.057702	-0.114795	-0.049191	-0.562819	-0.018581	-0.184233	-0.129384	-0.020104	-0.144822	-0.165267	-0.022455	-0.002266	-0.018268	0.206803	-0.162939	-0.015908	0.025408	-0.006004	0.139120	0.010648	0.054049	-0.012561	-0.010385	0.036010	0.042828	-0.021522	-0.003655	0.025341	0.040958	-0.001064	0.301029	0.181769	-0.004855	0.217426	0.006953	0.079975	-0.292368	-0.227659	-0.216631	-0.182592	-0.200218	-0.197912	-0.139928	-0.117693	-0.085494	-0.105237	-0.198977	-0.070051	-0.062332	0.062433	0.219579	0.848709	0.593156	0.713433	0.704237	-0.436181	0.971317	-0.078864	-0.300517	-0.154228	-0.111110	-0.313275	-0.445735	-0.584381	-0.628617	-0.356025	-0.155952	-0.067548	-0.463156	-0.755562	-0.803858	-0.780419	1
3	1	0	-1.979250	1.381365	0.753132	-1.471212	-1.465542	2.462585	-0.275134	0.709883	1.256087	0.902413	0.907150	0.899006	-0.301688	-0.207595	-0.466122	-0.464009	-0.316636	-0.466123	0.106635	-0.087287	0.180287	0.618448	0.754737	0.740037	1.277102	-0.189474	1.504162	1.652669	0.082429	-0.233689	0.048959	0.029685	0.548328	3.444958	-0.377235	-0.736775	-0.317528	0.042250	1.094189	0.493759	0.163592	-0.607685	-0.595602	-0.570779	-0.184703	-0.307171	0.087438	0.377039	0.188964	1.276773	2.108253	0.392449	-0.790725	-0.152822	0.023381	-0.531938	0.272881	1.103908	0.345236	-0.104788	-0.194769	0.627936	0.928165	1.281433	-0.306433	-0.282386	-0.728989	0.299058	0.113324	-0.270944	0.415773	-0.072779	0.212379	-0.200273	0.322000	-0.138677	-0.515913	-0.120513	0.038077	-1.174580	-0.396261	0.381151	-0.189092	0.611364	-1.438052	0.157516	0.412192	1.264427	-1.989069	0.376021	0.610224	-0.680929	1.328221	0.320728	-0.434380	-0.246857	-0.249950	0.285167	0.439943	0.731011	-0.172247	-0.733436	-0.281519	-1.124280	-0.799258	-0.491639	-1.023351	-0.869272	-0.714978	0.087690	0.059955	1.233750	0.708327	0.577785	-0.361889	-0.230661	0.009926	-0.606567	-0.471588	-0.534486	-1.158337	-0.393498	-0.561309	0.434673	0.182726	1.249921	0.269907	0.240184	-0.598763	-0.608603	-0.414703	-0.572466	-0.585447	-0.542230	-1.130052	-0.391509	-0.615340	-0.030351	-2.658078	0.216707	0.741460	1.123823	1.675026	2.454279	4.748122	7.638740	3.103385	2.989521	1.332291	-0.038036	-0.324207	-0.391123	-0.628589	-1.287253	-1.682778	-2.047288	-0.733950	-1.996814	-0.374446	1.110116	2.191949	2.040180	2.417137	2.800099	3.081392	2.800113	2.544329	2.258371	2.007991	0.110593	0.290249	0.417796	0.837625	0.901671	2.036923	2.058662	1.068774	1.969279	0.501170	0.097735	0.567689	0.800781	0.896020	1.376685	1.768017	1.816132	0.691117	2.129817	0.471557	0.661862	0.720883	0.807408	0.901482	0.985360	1.048491	1.080264	1.101397	1.103595	1.105914	-0.792781	-0.883051	-1.047359	-1.260639	-1.481456	-1.650198	-1.715729	-1.773528	-1.771595	-1.768950	0.318656	-0.045002	-0.488556	-0.779825	-0.984985	-1.035323	-1.109122	-1.133250	-1.148247	-1.133767	0.128588	0.065888	-0.098116	-0.455449	-0.685526	-0.948294	-0.875118	-1.130091	-1.036862	-1.132892	-1.552100	0.411602	1.133109	1.224106	1.365144	2.120334	2.635466	4.115746	1.560146	2.118255	0.606229	1.844131	2.920258	3.224934	1.888073	0.179642	-0.518941	-1.173622	-0.467497	...	0.521198	-0.362837	-0.361434	-0.428017	-0.016900	0.594775	-0.215557	-0.431392	0.056851	-0.393708	0.591502	-0.247703	-0.035045	0.336425	-0.680238	0.102027	1.083267	2.118068	-0.086801	-0.216791	-1.137956	0.467421	0.332868	-0.023640	0.107501	0.074695	-0.373105	0.917431	0.418012	0.880194	-0.170039	0.403178	0.215615	-0.627307	2.112868	-1.576139	-0.637837	-0.801931	-1.030796	-0.266584	0.865846	0.812181	0.030688	0.661883	-0.246866	1.082992	-2.826245	-0.133199	0.079855	-0.262229	-0.166842	-0.041659	0.357904	0.722679	-0.171707	1.645625	-0.045714	2.859817	-1.208295	0.214129	-0.689370	0.499617	-4.183251	1.050406	0.597670	-0.127619	0.133500	-1.048804	0.839092	-0.004769	-0.131247	-0.278192	-0.338904	-0.318840	-0.453734	-0.492948	-0.489943	-0.586576	-0.674368	-0.636049	-0.296956	-0.056594	0.223772	0.419921	0.284513	-0.189349	-0.462645	-0.441772	0.038418	0.718741	0.575777	1.405556	2.655759	2.888736	0.947160	-0.243347	0.450405	1.244301	1.234401	0.320181	0.141973	0.132540	0.286061	0.290088	0.431546	-1.145545	-0.794477	-0.735071	-0.498715	-0.419165	-0.548087	-0.828000	-0.637774	-0.534305	-0.619121	-0.629893	-0.180473	-0.476008	-1.314055	-1.774394	-1.375940	-0.625472	-0.015711	0.042663	0.054593	-0.651672	-1.130601	-1.671649	-3.243101	-3.103450	-1.174350	-0.418450	-0.960004	-1.646877	-1.901167	-1.438611	-0.294899	-0.285316	-0.121313	-0.631689	-0.220356	2.182263	1.448278	0.930169	0.758867	0.568460	0.699614	0.940580	0.628108	0.614170	0.753197	0.507772	0.106220	0.515699	1.230440	1.700335	1.487053	0.765322	0.291816	-0.118773	-0.121241	0.657139	0.866833	1.459149	3.340269	3.157854	1.112182	0.292966	0.932122	1.664617	1.792101	0.817459	0.191351	0.159207	0.451333	0.176637	0.545973	0.341115	0.127988	0.330943	0.107690	0.269929	0.147838	0.520379	-0.538834	-0.126378	0.299304	0.136209	-0.627076	2.905440	-0.007043	0.328010	0.140448	0.654483	0.209373	1.661436	-0.072998	-0.045151	-0.937094	-0.117422	0.066903	0.043117	-0.054476	-0.048787	0.042487	0.032172	-0.049954	-0.543499	-0.067206	-0.246554	0.285451	-0.328642	0.044257	-0.132897	-0.205950	-0.205395	-0.213725	-0.223208	-0.102267	0.026209	0.108437	0.091700	0.410721	2.261769	-0.064166	0.549155	1.085833	1.344525	1.225658	1.663463	1.338288	0.448645	-0.443464	-0.520671	0.495312	0.017462	-0.108068	-0.153615	-0.306848	-0.321385	-0.531890	-0.590746	-0.522060	0.008395	-0.449596	-0.470554	-0.633056	-0.587998	-0.801052	1
4	1	0	-2.471353	1.397143	0.299925	-0.886646	-0.882056	0.986391	3.141518	1.151283	1.177489	1.075756	0.662624	1.079152	-0.264684	-0.286012	-0.236306	-0.290992	-0.076206	-0.236157	0.222260	-0.229418	0.125055	0.656683	0.744888	0.739026	1.479140	-0.109442	1.624873	1.547148	0.615206	-0.193530	-0.441688	-0.185308	0.500908	2.240122	1.497275	-0.732471	-0.399384	0.119167	0.882711	0.591183	0.308497	-0.575305	-0.604254	-0.529022	-0.382812	-0.295263	0.075135	0.574870	0.342543	1.504959	1.721329	1.510557	-0.581813	1.166134	0.592865	-0.077246	0.104138	1.009517	0.393287	-0.259271	-0.224299	0.790364	1.022776	1.359972	-0.365373	-0.471115	-0.939891	0.008854	0.605252	0.222271	-0.236737	0.649256	-0.275103	-0.558904	0.174254	0.987685	-1.186054	-0.227440	0.527297	-0.518629	-0.309068	-0.640436	-0.419883	-1.113834	1.175197	0.650628	-0.446134	-0.449700	1.469403	-0.952772	0.593096	1.564333	-0.889349	0.537950	0.409910	0.138322	-0.378831	-0.132486	-0.440884	-0.192050	-0.936070	-0.599234	-1.233625	-0.996046	-0.625358	-0.784438	-1.310708	-0.520736	-0.782728	-0.495194	-0.298813	1.027812	-0.210332	0.436909	-0.344635	-0.148568	-0.694597	-1.016234	-0.559854	-0.586062	-1.004794	-0.749724	-0.416440	-0.457638	-0.306839	1.058782	-0.450570	0.240647	-0.310311	-0.373351	-0.590561	-1.086573	-0.596899	-0.766782	-0.991496	-0.591761	-0.698906	-0.519089	-3.879973	0.191220	0.354052	0.590771	2.296079	1.124825	2.944048	6.475383	1.542934	4.580352	5.004880	-0.066537	-0.154064	-0.225817	-1.238673	-0.645902	-1.202349	-2.209836	-0.402922	-3.932736	-2.296604	1.523564	1.875163	2.383707	3.096197	2.856704	2.748189	2.859172	2.481855	2.747985	2.754313	0.080758	0.286781	0.312749	1.367713	0.970993	1.210471	2.249492	0.138025	3.692913	2.235223	0.100976	0.241395	0.365869	1.420478	0.782616	1.353266	2.484990	0.431128	2.986519	1.840850	0.389025	0.465804	0.567323	0.704760	0.825664	0.905934	0.938542	0.979247	0.981933	0.988562	-0.331799	-0.453265	-0.644834	-0.897406	-1.196593	-1.410585	-1.477478	-1.585748	-1.582853	-1.578194	0.332484	0.314930	0.152341	-0.208021	-0.322125	-0.427558	-0.420009	-0.430452	-0.426626	-0.523718	0.114441	0.154981	0.173694	-0.114149	-0.097845	-0.026584	-0.408819	-0.264786	-0.438020	-0.493084	-2.850036	0.459878	0.691423	0.763824	2.284057	1.144200	1.996298	4.389359	0.947234	4.175411	2.974626	1.833265	2.585473	2.527008	1.594504	0.639042	0.074378	-1.756477	-0.157047	...	-0.057430	0.008007	-0.530685	-0.297529	0.023357	0.217300	-0.325670	-0.081263	-0.321913	-0.507150	-0.306236	-0.429116	0.126433	-0.256182	-0.069233	0.128427	0.639852	1.802843	2.057928	0.101993	-0.702391	4.162204	2.596093	0.014947	0.005671	-0.077639	-0.262831	0.223099	-0.363328	-0.192763	0.349077	-0.170973	0.212417	-0.213037	0.916459	-0.335860	-0.327851	0.577175	0.236028	0.069006	-0.363231	-0.337586	-0.047452	0.140773	-0.278308	0.438306	-0.719470	-0.829044	0.643013	0.308515	-0.207403	0.721110	-0.537344	-1.556033	1.395529	0.639925	-1.272283	-1.896416	-0.400242	0.021379	0.015501	-0.035470	0.270264	-0.204280	-0.102539	0.008634	0.436101	-0.027027	0.723969	-0.074676	-0.047255	-0.141514	-0.313336	-0.316220	-0.447159	-0.547728	-0.482689	-0.520769	-0.675480	-0.679145	-0.320284	-0.062524	0.279703	0.532382	0.280541	-0.335554	-0.578854	-0.457995	0.047192	0.805155	0.351167	1.149252	2.644376	2.996746	1.062990	-0.333231	0.177874	0.749795	0.697558	0.220028	0.145196	0.156114	0.092338	0.045545	0.525368	0.048493	0.194895	0.187969	0.319372	0.233427	0.223243	0.260203	0.201034	0.261012	0.136852	0.025987	-0.032826	-0.210974	-0.940882	-1.821788	-1.454390	-0.472888	0.042077	0.250800	-0.117115	-0.712422	-0.606701	-1.618128	-2.496240	-2.971286	-1.024670	0.010427	-0.558564	-1.330618	-1.174544	-0.114035	-0.444817	-0.671512	-0.372115	-0.148553	-0.479405	0.480272	0.074138	-0.311494	-0.210029	-0.312548	-0.164683	-0.241317	-0.217888	-0.202903	-0.042995	0.123135	-0.103153	0.273849	1.229282	1.349014	0.896298	0.577248	-0.153373	-0.271380	0.123508	0.979303	0.613763	1.729574	2.504694	2.967969	1.318753	0.130207	0.691543	1.490546	1.268561	0.418004	0.473069	0.576257	0.276701	-0.002231	0.557189	0.020534	0.000505	-0.073852	-0.002384	-0.205476	-0.047379	-0.371270	-0.513541	-0.089058	-0.047729	0.636448	0.143193	1.486680	0.222561	-0.148124	-0.434536	-0.374249	-0.414820	-0.537330	-0.337607	0.320527	0.072690	0.254617	0.041437	0.042969	0.070537	0.003313	0.033837	0.024214	-0.053348	0.394232	0.281129	-0.013379	-0.235003	-0.013909	0.060963	-0.291582	-0.244337	-0.240829	-0.244303	-0.246107	-0.197308	-0.109167	-0.058609	-0.045147	-0.029167	0.567707	-0.148977	-0.014481	0.372494	0.638580	0.657257	1.079326	0.714898	-0.085534	-0.363802	-0.454120	0.048075	-0.068861	-0.130378	-0.158481	-0.306866	-0.300636	-0.475230	-0.521011	-0.489766	-0.404565	-0.249513	-0.041993	-0.419076	-0.671771	-0.740987	1

	-id	-gender	Baseline Features-PPE	Baseline Features-DFA	Baseline Features-RPDE	Baseline Features-numPulses	Baseline Features-numPeriodsPulses	Baseline Features-meanPeriodPulses	Baseline Features-stdDevPeriodPulses	Baseline Features-locPctJitter	Baseline Features-locAbsJitter	Baseline Features-rapJitter	Baseline Features-ppq5Jitter	Baseline Features-ddpJitter	Baseline Features-locShimmer	Baseline Features-locDbShimmer	Baseline Features-apq3Shimmer	Baseline Features-apq5Shimmer	Baseline Features-apq11Shimmer	Baseline Features-ddaShimmer	Baseline Features-meanAutoCorrHarmonicity	Baseline Features-meanNoiseToHarmHarmonicity	Baseline Features-meanHarmToNoiseHarmonicity	Intensity Parameters-minIntensity	Intensity Parameters-maxIntensity	Intensity Parameters-meanIntensity	Formant Frequencies-f1	Formant Frequencies-f2	Formant Frequencies-f3	Formant Frequencies-f4	Bandwidth Parameters-b1	Bandwidth Parameters-b2	Bandwidth Parameters-b3	Bandwidth Parameters-b4	Vocal Fold-GQ_prc5_95	Vocal Fold-GQ_std_cycle_open	Vocal Fold-GQ_std_cycle_closed	Vocal Fold-GNE_mean	Vocal Fold-GNE_std	Vocal Fold-GNE_SNR_TKEO	Vocal Fold-GNE_SNR_SEO	Vocal Fold-GNE_NSR_TKEO	Vocal Fold-GNE_NSR_SEO	Vocal Fold-VFER_mean	Vocal Fold-VFER_std	Vocal Fold-VFER_entropy	Vocal Fold-VFER_SNR_TKEO	Vocal Fold-VFER_SNR_SEO	Vocal Fold-VFER_NSR_TKEO	Vocal Fold-VFER_NSR_SEO	Vocal Fold-IMF_SNR_SEO	Vocal Fold-IMF_SNR_TKEO	Vocal Fold-IMF_SNR_entropy	Vocal Fold-IMF_NSR_SEO	Vocal Fold-IMF_NSR_TKEO	Vocal Fold-IMF_NSR_entropy	MFCC -mean_Log_energy	MFCC -mean_MFCC_0th_coef	MFCC -mean_MFCC_1st_coef	MFCC -mean_MFCC_2nd_coef	MFCC -mean_MFCC_3rd_coef	MFCC -mean_MFCC_4th_coef	MFCC -mean_MFCC_5th_coef	MFCC -mean_MFCC_6th_coef	MFCC -mean_MFCC_7th_coef	MFCC -mean_MFCC_8th_coef	MFCC -mean_MFCC_9th_coef	MFCC -mean_MFCC_10th_coef	MFCC -mean_MFCC_11th_coef	MFCC -mean_MFCC_12th_coef	MFCC -mean_delta_log_energy	MFCC -mean_0th_delta	MFCC -mean_1st_delta	MFCC -mean_2nd_delta	MFCC -mean_3rd_delta	MFCC -mean_4th_delta	MFCC -mean_5th_delta	MFCC -mean_6th_delta	MFCC -mean_7th_delta	MFCC -mean_8th_delta	MFCC -mean_9th_delta	MFCC -mean_10th_delta	MFCC -mean_11th_delta	MFCC -mean_12th_delta	MFCC -mean_delta_delta_log_energy	MFCC -mean_delta_delta_0th	MFCC -mean_1st_delta_delta	MFCC -mean_2nd_delta_delta	MFCC -mean_3rd_delta_delta	MFCC -mean_4th_delta_delta	MFCC -mean_5th_delta_delta	MFCC -mean_6th_delta_delta	MFCC -mean_7th_delta_delta	MFCC -mean_8th_delta_delta	MFCC -mean_9th_delta_delta	MFCC -mean_10th_delta_delta	MFCC -mean_11th_delta_delta	MFCC -mean_12th_delta_delta	MFCC -std_Log_energy	MFCC -std_MFCC_0th_coef	MFCC -std_MFCC_1st_coef	MFCC -std_MFCC_2nd_coef	MFCC -std_MFCC_3rd_coef	MFCC -std_MFCC_4th_coef	MFCC -std_MFCC_5th_coef	MFCC -std_MFCC_6th_coef	MFCC -std_MFCC_7th_coef	MFCC -std_MFCC_8th_coef	MFCC -std_MFCC_9th_coef	MFCC -std_MFCC_10th_coef	MFCC -std_MFCC_11th_coef	MFCC -std_MFCC_12th_coef	MFCC -std_delta_log_energy	MFCC -std_0th_delta	MFCC -std_1st_delta	MFCC -std_2nd_delta	MFCC -std_3rd_delta	MFCC -std_4th_delta	MFCC -std_5th_delta	MFCC -std_6th_delta	MFCC -std_7th_delta	MFCC -std_8th_delta	MFCC -std_9th_delta	MFCC -std_10th_delta	MFCC -std_11th_delta	MFCC -std_12th_delta	MFCC -std_delta_delta_log_energy	MFCC -std_delta_delta_0th	MFCC -std_1st_delta_delta	MFCC -std_2nd_delta_delta	MFCC -std_3rd_delta_delta	MFCC -std_4th_delta_delta	MFCC -std_5th_delta_delta	MFCC -std_6th_delta_delta	MFCC -std_7th_delta_delta	MFCC -std_8th_delta_delta	MFCC -std_9th_delta_delta	MFCC -std_10th_delta_delta	MFCC -std_11th_delta_delta	MFCC -std_12th_delta_delta	Wavelet Features-Ea	Wavelet Features-Ed_1_coef	Wavelet Features-Ed_2_coef	Wavelet Features-Ed_3_coef	Wavelet Features-Ed_4_coef	Wavelet Features-Ed_5_coef	Wavelet Features-Ed_6_coef	Wavelet Features-Ed_7_coef	Wavelet Features-Ed_8_coef	Wavelet Features-Ed_9_coef	Wavelet Features-Ed_10_coef	Wavelet Features-det_entropy_shannon_1_coef	Wavelet Features-det_entropy_shannon_2_coef	Wavelet Features-det_entropy_shannon_3_coef	Wavelet Features-det_entropy_shannon_4_coef	Wavelet Features-det_entropy_shannon_5_coef	Wavelet Features-det_entropy_shannon_6_coef	Wavelet Features-det_entropy_shannon_7_coef	Wavelet Features-det_entropy_shannon_8_coef	Wavelet Features-det_entropy_shannon_9_coef	Wavelet Features-det_entropy_shannon_10_coef	Wavelet Features-det_entropy_log_1_coef	Wavelet Features-det_entropy_log_2_coef	Wavelet Features-det_entropy_log_3_coef	Wavelet Features-det_entropy_log_4_coef	Wavelet Features-det_entropy_log_5_coef	Wavelet Features-det_entropy_log_6_coef	Wavelet Features-det_entropy_log_7_coef	Wavelet Features-det_entropy_log_8_coef	Wavelet Features-det_entropy_log_9_coef	Wavelet Features-det_entropy_log_10_coef	Wavelet Features-det_TKEO_mean_1_coef	Wavelet Features-det_TKEO_mean_2_coef	Wavelet Features-det_TKEO_mean_3_coef	Wavelet Features-det_TKEO_mean_4_coef	Wavelet Features-det_TKEO_mean_5_coef	Wavelet Features-det_TKEO_mean_6_coef	Wavelet Features-det_TKEO_mean_7_coef	Wavelet Features-det_TKEO_mean_8_coef	Wavelet Features-det_TKEO_mean_9_coef	Wavelet Features-det_TKEO_mean_10_coef	Wavelet Features-det_TKEO_std_1_coef	Wavelet Features-det_TKEO_std_2_coef	Wavelet Features-det_TKEO_std_3_coef	Wavelet Features-det_TKEO_std_4_coef	Wavelet Features-det_TKEO_std_5_coef	Wavelet Features-det_TKEO_std_6_coef	Wavelet Features-det_TKEO_std_7_coef	Wavelet Features-det_TKEO_std_8_coef	Wavelet Features-det_TKEO_std_9_coef	Wavelet Features-det_TKEO_std_10_coef	Wavelet Features-app_entropy_shannon_1_coef	Wavelet Features-app_entropy_shannon_2_coef	Wavelet Features-app_entropy_shannon_3_coef	Wavelet Features-app_entropy_shannon_4_coef	Wavelet Features-app_entropy_shannon_5_coef	Wavelet Features-app_entropy_shannon_6_coef	Wavelet Features-app_entropy_shannon_7_coef	Wavelet Features-app_entropy_shannon_8_coef	Wavelet Features-app_entropy_shannon_9_coef	Wavelet Features-app_entropy_shannon_10_coef	Wavelet Features-app_entropy_log_1_coef	Wavelet Features-app_entropy_log_2_coef	Wavelet Features-app_entropy_log_3_coef	Wavelet Features-app_entropy_log_4_coef	Wavelet Features-app_entropy_log_5_coef	Wavelet Features-app_entropy_log_6_coef	Wavelet Features-app_entropy_log_7_coef	Wavelet Features-app_entropy_log_8_coef	Wavelet Features-app_entropy_log_9_coef	Wavelet Features-app_entropy_log_10_coef	Wavelet Features-app_det_TKEO_mean_1_coef	Wavelet Features-app_det_TKEO_mean_2_coef	Wavelet Features-app_det_TKEO_mean_3_coef	Wavelet Features-app_det_TKEO_mean_4_coef	Wavelet Features-app_det_TKEO_mean_5_coef	Wavelet Features-app_det_TKEO_mean_6_coef	Wavelet Features-app_det_TKEO_mean_7_coef	Wavelet Features-app_det_TKEO_mean_8_coef	Wavelet Features-app_det_TKEO_mean_9_coef	Wavelet Features-app_det_TKEO_mean_10_coef	Wavelet Features-app_TKEO_std_1_coef	Wavelet Features-app_TKEO_std_2_coef	Wavelet Features-app_TKEO_std_3_coef	Wavelet Features-app_TKEO_std_4_coef	Wavelet Features-app_TKEO_std_5_coef	Wavelet Features-app_TKEO_std_6_coef	Wavelet Features-app_TKEO_std_7_coef	Wavelet Features-app_TKEO_std_8_coef	Wavelet Features-app_TKEO_std_9_coef	Wavelet Features-app_TKEO_std_10_coef	Wavelet Features-Ea2	Wavelet Features-Ed2_1_coef	Wavelet Features-Ed2_2_coef	Wavelet Features-Ed2_3_coef	Wavelet Features-Ed2_4_coef	Wavelet Features-Ed2_5_coef	Wavelet Features-Ed2_6_coef	Wavelet Features-Ed2_7_coef	Wavelet Features-Ed2_8_coef	Wavelet Features-Ed2_9_coef	Wavelet Features-Ed2_10_coef	Wavelet Features-det_LT_entropy_shannon_1_coef	Wavelet Features-det_LT_entropy_shannon_2_coef	Wavelet Features-det_LT_entropy_shannon_3_coef	Wavelet Features-det_LT_entropy_shannon_4_coef	Wavelet Features-det_LT_entropy_shannon_5_coef	Wavelet Features-det_LT_entropy_shannon_6_coef	Wavelet Features-det_LT_entropy_shannon_7_coef	Wavelet Features-det_LT_entropy_shannon_8_coef	...	TQWT Features-tqwt_medianValue_dec_4	TQWT Features-tqwt_medianValue_dec_5	TQWT Features-tqwt_medianValue_dec_6	TQWT Features-tqwt_medianValue_dec_7	TQWT Features-tqwt_medianValue_dec_8	TQWT Features-tqwt_medianValue_dec_9	TQWT Features-tqwt_medianValue_dec_10	TQWT Features-tqwt_medianValue_dec_11	TQWT Features-tqwt_medianValue_dec_12	TQWT Features-tqwt_medianValue_dec_13	TQWT Features-tqwt_medianValue_dec_14	TQWT Features-tqwt_medianValue_dec_15	TQWT Features-tqwt_medianValue_dec_16	TQWT Features-tqwt_medianValue_dec_17	TQWT Features-tqwt_medianValue_dec_18	TQWT Features-tqwt_medianValue_dec_19	TQWT Features-tqwt_medianValue_dec_20	TQWT Features-tqwt_medianValue_dec_21	TQWT Features-tqwt_medianValue_dec_22	TQWT Features-tqwt_medianValue_dec_23	TQWT Features-tqwt_medianValue_dec_24	TQWT Features-tqwt_medianValue_dec_25	TQWT Features-tqwt_medianValue_dec_26	TQWT Features-tqwt_medianValue_dec_27	TQWT Features-tqwt_medianValue_dec_28	TQWT Features-tqwt_medianValue_dec_29	TQWT Features-tqwt_medianValue_dec_30	TQWT Features-tqwt_medianValue_dec_31	TQWT Features-tqwt_medianValue_dec_32	TQWT Features-tqwt_medianValue_dec_33	TQWT Features-tqwt_medianValue_dec_34	TQWT Features-tqwt_medianValue_dec_35	TQWT Features-tqwt_medianValue_dec_36	TQWT Features-tqwt_meanValue_dec_1	TQWT Features-tqwt_meanValue_dec_2	TQWT Features-tqwt_meanValue_dec_3	TQWT Features-tqwt_meanValue_dec_4	TQWT Features-tqwt_meanValue_dec_5	TQWT Features-tqwt_meanValue_dec_6	TQWT Features-tqwt_meanValue_dec_7	TQWT Features-tqwt_meanValue_dec_8	TQWT Features-tqwt_meanValue_dec_9	TQWT Features-tqwt_meanValue_dec_10	TQWT Features-tqwt_meanValue_dec_11	TQWT Features-tqwt_meanValue_dec_12	TQWT Features-tqwt_meanValue_dec_13	TQWT Features-tqwt_meanValue_dec_14	TQWT Features-tqwt_meanValue_dec_15	TQWT Features-tqwt_meanValue_dec_16	TQWT Features-tqwt_meanValue_dec_17	TQWT Features-tqwt_meanValue_dec_18	TQWT Features-tqwt_meanValue_dec_19	TQWT Features-tqwt_meanValue_dec_20	TQWT Features-tqwt_meanValue_dec_21	TQWT Features-tqwt_meanValue_dec_22	TQWT Features-tqwt_meanValue_dec_23	TQWT Features-tqwt_meanValue_dec_24	TQWT Features-tqwt_meanValue_dec_25	TQWT Features-tqwt_meanValue_dec_26	TQWT Features-tqwt_meanValue_dec_27	TQWT Features-tqwt_meanValue_dec_28	TQWT Features-tqwt_meanValue_dec_29	TQWT Features-tqwt_meanValue_dec_30	TQWT Features-tqwt_meanValue_dec_31	TQWT Features-tqwt_meanValue_dec_32	TQWT Features-tqwt_meanValue_dec_33	TQWT Features-tqwt_meanValue_dec_34	TQWT Features-tqwt_meanValue_dec_35	TQWT Features-tqwt_meanValue_dec_36	TQWT Features-tqwt_stdValue_dec_1	TQWT Features-tqwt_stdValue_dec_2	TQWT Features-tqwt_stdValue_dec_3	TQWT Features-tqwt_stdValue_dec_4	TQWT Features-tqwt_stdValue_dec_5	TQWT Features-tqwt_stdValue_dec_6	TQWT Features-tqwt_stdValue_dec_7	TQWT Features-tqwt_stdValue_dec_8	TQWT Features-tqwt_stdValue_dec_9	TQWT Features-tqwt_stdValue_dec_10	TQWT Features-tqwt_stdValue_dec_11	TQWT Features-tqwt_stdValue_dec_12	TQWT Features-tqwt_stdValue_dec_13	TQWT Features-tqwt_stdValue_dec_14	TQWT Features-tqwt_stdValue_dec_15	TQWT Features-tqwt_stdValue_dec_16	TQWT Features-tqwt_stdValue_dec_17	TQWT Features-tqwt_stdValue_dec_18	TQWT Features-tqwt_stdValue_dec_19	TQWT Features-tqwt_stdValue_dec_20	TQWT Features-tqwt_stdValue_dec_21	TQWT Features-tqwt_stdValue_dec_22	TQWT Features-tqwt_stdValue_dec_23	TQWT Features-tqwt_stdValue_dec_24	TQWT Features-tqwt_stdValue_dec_25	TQWT Features-tqwt_stdValue_dec_26	TQWT Features-tqwt_stdValue_dec_27	TQWT Features-tqwt_stdValue_dec_28	TQWT Features-tqwt_stdValue_dec_29	TQWT Features-tqwt_stdValue_dec_30	TQWT Features-tqwt_stdValue_dec_31	TQWT Features-tqwt_stdValue_dec_32	TQWT Features-tqwt_stdValue_dec_33	TQWT Features-tqwt_stdValue_dec_34	TQWT Features-tqwt_stdValue_dec_35	TQWT Features-tqwt_stdValue_dec_36	TQWT Features-tqwt_minValue_dec_1	TQWT Features-tqwt_minValue_dec_2	TQWT Features-tqwt_minValue_dec_3	TQWT Features-tqwt_minValue_dec_4	TQWT Features-tqwt_minValue_dec_5	TQWT Features-tqwt_minValue_dec_6	TQWT Features-tqwt_minValue_dec_7	TQWT Features-tqwt_minValue_dec_8	TQWT Features-tqwt_minValue_dec_9	TQWT Features-tqwt_minValue_dec_10	TQWT Features-tqwt_minValue_dec_11	TQWT Features-tqwt_minValue_dec_12	TQWT Features-tqwt_minValue_dec_13	TQWT Features-tqwt_minValue_dec_14	TQWT Features-tqwt_minValue_dec_15	TQWT Features-tqwt_minValue_dec_16	TQWT Features-tqwt_minValue_dec_17	TQWT Features-tqwt_minValue_dec_18	TQWT Features-tqwt_minValue_dec_19	TQWT Features-tqwt_minValue_dec_20	TQWT Features-tqwt_minValue_dec_21	TQWT Features-tqwt_minValue_dec_22	TQWT Features-tqwt_minValue_dec_23	TQWT Features-tqwt_minValue_dec_24	TQWT Features-tqwt_minValue_dec_25	TQWT Features-tqwt_minValue_dec_26	TQWT Features-tqwt_minValue_dec_27	TQWT Features-tqwt_minValue_dec_28	TQWT Features-tqwt_minValue_dec_29	TQWT Features-tqwt_minValue_dec_30	TQWT Features-tqwt_minValue_dec_31	TQWT Features-tqwt_minValue_dec_32	TQWT Features-tqwt_minValue_dec_33	TQWT Features-tqwt_minValue_dec_34	TQWT Features-tqwt_minValue_dec_35	TQWT Features-tqwt_minValue_dec_36	TQWT Features-tqwt_maxValue_dec_1	TQWT Features-tqwt_maxValue_dec_2	TQWT Features-tqwt_maxValue_dec_3	TQWT Features-tqwt_maxValue_dec_4	TQWT Features-tqwt_maxValue_dec_5	TQWT Features-tqwt_maxValue_dec_6	TQWT Features-tqwt_maxValue_dec_7	TQWT Features-tqwt_maxValue_dec_8	TQWT Features-tqwt_maxValue_dec_9	TQWT Features-tqwt_maxValue_dec_10	TQWT Features-tqwt_maxValue_dec_11	TQWT Features-tqwt_maxValue_dec_12	TQWT Features-tqwt_maxValue_dec_13	TQWT Features-tqwt_maxValue_dec_14	TQWT Features-tqwt_maxValue_dec_15	TQWT Features-tqwt_maxValue_dec_16	TQWT Features-tqwt_maxValue_dec_17	TQWT Features-tqwt_maxValue_dec_18	TQWT Features-tqwt_maxValue_dec_19	TQWT Features-tqwt_maxValue_dec_20	TQWT Features-tqwt_maxValue_dec_21	TQWT Features-tqwt_maxValue_dec_22	TQWT Features-tqwt_maxValue_dec_23	TQWT Features-tqwt_maxValue_dec_24	TQWT Features-tqwt_maxValue_dec_25	TQWT Features-tqwt_maxValue_dec_26	TQWT Features-tqwt_maxValue_dec_27	TQWT Features-tqwt_maxValue_dec_28	TQWT Features-tqwt_maxValue_dec_29	TQWT Features-tqwt_maxValue_dec_30	TQWT Features-tqwt_maxValue_dec_31	TQWT Features-tqwt_maxValue_dec_32	TQWT Features-tqwt_maxValue_dec_33	TQWT Features-tqwt_maxValue_dec_34	TQWT Features-tqwt_maxValue_dec_35	TQWT Features-tqwt_maxValue_dec_36	TQWT Features-tqwt_skewnessValue_dec_1	TQWT Features-tqwt_skewnessValue_dec_2	TQWT Features-tqwt_skewnessValue_dec_3	TQWT Features-tqwt_skewnessValue_dec_4	TQWT Features-tqwt_skewnessValue_dec_5	TQWT Features-tqwt_skewnessValue_dec_6	TQWT Features-tqwt_skewnessValue_dec_7	TQWT Features-tqwt_skewnessValue_dec_8	TQWT Features-tqwt_skewnessValue_dec_9	TQWT Features-tqwt_skewnessValue_dec_10	TQWT Features-tqwt_skewnessValue_dec_11	TQWT Features-tqwt_skewnessValue_dec_12	TQWT Features-tqwt_skewnessValue_dec_13	TQWT Features-tqwt_skewnessValue_dec_14	TQWT Features-tqwt_skewnessValue_dec_15	TQWT Features-tqwt_skewnessValue_dec_16	TQWT Features-tqwt_skewnessValue_dec_17	TQWT Features-tqwt_skewnessValue_dec_18	TQWT Features-tqwt_skewnessValue_dec_19	TQWT Features-tqwt_skewnessValue_dec_20	TQWT Features-tqwt_skewnessValue_dec_21	TQWT Features-tqwt_skewnessValue_dec_22	TQWT Features-tqwt_skewnessValue_dec_23	TQWT Features-tqwt_skewnessValue_dec_24	TQWT Features-tqwt_skewnessValue_dec_25	TQWT Features-tqwt_skewnessValue_dec_26	TQWT Features-tqwt_skewnessValue_dec_27	TQWT Features-tqwt_skewnessValue_dec_28	TQWT Features-tqwt_skewnessValue_dec_29	TQWT Features-tqwt_skewnessValue_dec_30	TQWT Features-tqwt_skewnessValue_dec_31	TQWT Features-tqwt_skewnessValue_dec_32	TQWT Features-tqwt_skewnessValue_dec_33	TQWT Features-tqwt_skewnessValue_dec_34	TQWT Features-tqwt_skewnessValue_dec_35	TQWT Features-tqwt_skewnessValue_dec_36	TQWT Features-tqwt_kurtosisValue_dec_1	TQWT Features-tqwt_kurtosisValue_dec_2	TQWT Features-tqwt_kurtosisValue_dec_3	TQWT Features-tqwt_kurtosisValue_dec_4	TQWT Features-tqwt_kurtosisValue_dec_5	TQWT Features-tqwt_kurtosisValue_dec_6	TQWT Features-tqwt_kurtosisValue_dec_7	TQWT Features-tqwt_kurtosisValue_dec_8	TQWT Features-tqwt_kurtosisValue_dec_9	TQWT Features-tqwt_kurtosisValue_dec_10	TQWT Features-tqwt_kurtosisValue_dec_11	TQWT Features-tqwt_kurtosisValue_dec_12	TQWT Features-tqwt_kurtosisValue_dec_13	TQWT Features-tqwt_kurtosisValue_dec_14	TQWT Features-tqwt_kurtosisValue_dec_15	TQWT Features-tqwt_kurtosisValue_dec_16	TQWT Features-tqwt_kurtosisValue_dec_17	TQWT Features-tqwt_kurtosisValue_dec_18	TQWT Features-tqwt_kurtosisValue_dec_19	TQWT Features-tqwt_kurtosisValue_dec_20	TQWT Features-tqwt_kurtosisValue_dec_21	TQWT Features-tqwt_kurtosisValue_dec_22	TQWT Features-tqwt_kurtosisValue_dec_23	TQWT Features-tqwt_kurtosisValue_dec_24	TQWT Features-tqwt_kurtosisValue_dec_25	TQWT Features-tqwt_kurtosisValue_dec_26	TQWT Features-tqwt_kurtosisValue_dec_27	TQWT Features-tqwt_kurtosisValue_dec_28	TQWT Features-tqwt_kurtosisValue_dec_29	TQWT Features-tqwt_kurtosisValue_dec_30	TQWT Features-tqwt_kurtosisValue_dec_31	TQWT Features-tqwt_kurtosisValue_dec_32	TQWT Features-tqwt_kurtosisValue_dec_33	TQWT Features-tqwt_kurtosisValue_dec_34	TQWT Features-tqwt_kurtosisValue_dec_35	TQWT Features-tqwt_kurtosisValue_dec_36	class
count	756.000000	756.000000	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	756.000000	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	756.000000	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	756.000000	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	756.000000	756.000000	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	756.000000	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	756.000000	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	756.000000	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	756.000000	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	756.000000	7.560000e+02	7.560000e+02	...	756.000000	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	756.000000	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	756.000000	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	756.000000	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	756.000000	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	756.000000	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	756.000000	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	756.000000	7.560000e+02	756.000000	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	756.000000	7.560000e+02	756.000000	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	756.000000	756.000000	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	756.000000	7.560000e+02	7.560000e+02	7.560000e+02	756.000000	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	7.560000e+02	756.000000
mean	125.500000	0.515873	9.281230e-16	-1.379261e-15	-1.879743e-17	-7.518971e-17	-1.691768e-16	-1.409807e-16	-2.349678e-17	3.289550e-17	-9.868649e-17	5.639228e-17	-1.409807e-17	0.000000	-4.934325e-17	-2.349678e-17	9.398713e-18	8.693810e-17	-2.678633e-16	7.753939e-17	-8.693810e-16	-2.114711e-17	2.208698e-16	-1.292323e-16	9.657178e-16	4.182427e-16	-2.349678e-18	6.861061e-16	-2.819614e-16	2.631640e-16	2.349678e-18	-3.994453e-17	5.874196e-17	-6.814067e-17	-6.767074e-16	-2.819614e-17	0.000000	1.010362e-16	1.550788e-16	-1.127846e-16	-3.383537e-16	6.015177e-16	1.654174e-15	-5.169292e-17	-1.997227e-17	1.409807e-17	-1.644775e-16	4.934325e-17	1.355764e-15	7.941913e-16	7.049035e-18	3.172066e-17	5.639228e-17	4.617118e-16	-1.503794e-16	-4.534879e-16	-1.737587e-15	1.409807e-17	1.043257e-15	-1.879743e-17	-9.398713e-18	-3.759485e-17	-9.398713e-18	-2.208698e-16	-9.398713e-18	-1.409807e-17	-2.349678e-18	6.579099e-17	4.111937e-18	1.879743e-17	-1.879743e-17	-2.819614e-17	0.000000	3.524518e-18	-2.114711e-17	4.699357e-18	4.699357e-18	3.524518e-18	4.229421e-17	1.644775e-17	-4.699357e-18	2.349678e-17	2.114711e-17	-9.398713e-18	-4.699357e-18	0.000000	0.000000	2.349678e-17	-2.349678e-18	-1.057355e-17	4.699357e-18	-2.819614e-17	-1.409807e-17	-2.114711e-17	-1.292323e-17	1.409807e-17	-1.644775e-17	-3.759485e-17	-8.223874e-17	-7.401487e-17	-2.584646e-16	-1.785756e-16	-3.242556e-16	6.226648e-17	-1.398059e-16	-1.656523e-16	3.524518e-18	7.871423e-17	3.289550e-17	4.464389e-17	1.997227e-16	9.868649e-17	-1.080852e-16	-1.668272e-16	4.699357e-17	-3.524518e-17	-1.597781e-16	-6.579099e-17	-2.114711e-16	-4.393899e-16	-1.268826e-16	-3.336543e-16	-3.277801e-16	-5.639228e-17	-1.656523e-16	-8.458842e-17	7.049035e-17	7.518971e-17	-1.127846e-16	4.182427e-16	-2.349678e-16	2.349678e-16	-1.104349e-16	-1.973730e-16	7.518971e-17	4.041447e-16	-2.819614e-17	-1.973730e-16	4.511382e-16	5.639228e-16	-1.544209e-14	2.349678e-17	-4.699357e-18	0.000000	-1.409807e-17	-4.699357e-18	2.349678e-18	2.232194e-17	-4.934325e-17	-4.699357e-18	3.759485e-17	9.398713e-18	0.000000	-1.409807e-17	3.524518e-17	-1.879743e-17	4.699357e-18	7.049035e-18	1.644775e-17	1.644775e-17	-2.349678e-17	2.255691e-16	1.832749e-16	-1.409807e-17	-7.753939e-17	2.349678e-18	1.409807e-17	-2.349678e-18	-4.934325e-17	-7.753939e-17	-7.518971e-17	-9.398713e-18	4.699357e-18	0.000000	3.994453e-17	-7.049035e-18	2.819614e-17	-1.527291e-17	-9.398713e-18	-4.934325e-17	4.699357e-18	1.409807e-17	-3.994453e-17	2.349678e-17	-3.289550e-17	1.409807e-17	-4.699357e-18	-9.398713e-18	9.398713e-18	2.584646e-17	-1.409807e-17	-1.879743e-17	-1.033858e-16	2.349678e-17	-7.988906e-17	-1.362813e-16	-7.988906e-17	0.000000	5.639228e-17	8.458842e-17	1.879743e-17	7.330996e-16	-9.398713e-17	3.947460e-16	7.894919e-16	-2.288587e-15	-1.080852e-16	4.680559e-15	-2.702130e-15	-1.738762e-15	-4.332807e-15	-1.879743e-17	-4.699357e-17	2.819614e-17	1.174839e-16	7.988906e-17	4.699357e-18	4.699357e-18	7.049035e-17	3.759485e-17	-1.221833e-16	-8.928778e-17	-4.699357e-18	7.049035e-17	7.518971e-17	-1.550788e-16	-9.398713e-17	-6.579099e-17	2.490659e-16	2.725627e-16	-1.926736e-16	-1.132672e-12	1.409807e-17	-9.398713e-18	2.349678e-18	-1.762259e-17	-1.409807e-17	1.409807e-17	5.697970e-17	3.054582e-17	-4.699357e-18	-9.398713e-18	-1.174839e-18	-2.584646e-17	-4.699357e-17	-7.049035e-18	-4.699357e-18	0.000000	-1.527291e-17	-2.349678e-18	...	0.000000	1.409807e-17	9.398713e-18	2.349678e-18	1.409807e-17	0.000000	-4.699357e-18	-1.057355e-17	-1.174839e-17	1.527291e-17	-4.699357e-18	4.699357e-18	1.174839e-18	9.398713e-18	4.699357e-18	0.000000	9.398713e-18	1.292323e-17	9.398713e-18	-6.461615e-18	9.398713e-18	-1.409807e-17	-4.699357e-18	-4.699357e-18	1.879743e-17	-4.699357e-18	-9.398713e-18	1.174839e-17	-9.398713e-18	-1.409807e-17	-4.699357e-18	-2.349678e-18	-7.284003e-17	3.524518e-18	-1.409807e-17	-9.398713e-18	9.398713e-18	-4.699357e-18	-7.049035e-18	1.174839e-17	-2.290936e-17	-1.292323e-17	-4.699357e-18	-4.699357e-18	-9.398713e-18	2.819614e-17	1.174839e-17	-2.349678e-18	0.000000	1.879743e-17	-9.398713e-18	-4.699357e-18	-1.174839e-18	1.409807e-17	2.349678e-18	-7.049035e-18	7.049035e-18	-1.174839e-18	9.398713e-18	3.524518e-18	-1.292323e-17	8.811294e-18	-1.468549e-17	-4.699357e-18	7.049035e-18	-7.049035e-18	7.049035e-18	9.398713e-18	-2.114711e-17	4.229421e-17	-7.049035e-18	-1.151342e-16	1.362813e-16	-1.644775e-16	-1.127846e-16	-1.691768e-16	-1.597781e-16	1.221833e-16	-6.579099e-17	1.879743e-17	-8.458842e-17	-1.362813e-16	2.467162e-17	5.874196e-18	-1.574285e-16	-6.109164e-17	1.503794e-16	-4.699357e-18	1.409807e-16	1.127846e-16	9.398713e-17	5.639228e-17	-2.114711e-17	1.879743e-17	-8.223874e-17	9.398713e-18	3.289550e-17	-9.398713e-18	2.819614e-17	1.879743e-17	0.000000	-9.398713e-18	1.879743e-17	3.759485e-17	-3.759485e-17	1.127846e-16	7.518971e-17	-1.879743e-17	9.868649e-17	7.049035e-17	6.109164e-17	1.691768e-16	2.819614e-17	-2.349678e-16	1.691768e-16	-1.597781e-16	-9.398713e-17	9.398713e-17	-2.349678e-18	2.396672e-16	3.289550e-17	6.109164e-17	2.561149e-16	-2.161704e-16	7.5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std	72.793721	0.500079	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000	1.000000	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000	1.000000e+00	1.000000e+00	...	1.000000	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.000000e+00	1.0000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50%	125.500000	1.000000	3.743248e-01	1.592962e-03	-3.421508e-02	-7.027100e-02	-6.718716e-02	-1.706333e-01	-4.209997e-01	-3.156112e-01	-3.145628e-01	-3.313850e-01	-3.035494e-01	-0.331431	-2.732951e-01	-2.716356e-01	-2.859354e-01	-2.749783e-01	-2.304525e-01	-2.858609e-01	3.561940e-01	-3.333243e-01	8.067245e-02	3.716777e-01	3.794305e-01	4.072817e-01	-4.440659e-02	-1.094560e-01	1.265624e-01	-9.333643e-03	-2.337390e-01	-3.047659e-01	-3.590634e-01	-3.017250e-01	6.465514e-01	-4.343901e-01	-0.560733	-2.175174e-01	-2.332192e-01	-1.169126e-01	5.491812e-02	-4.511782e-02	8.483911e-02	-2.976406e-01	-3.463856e-01	-2.897673e-01	-3.220826e-01	-2.995056e-01	-2.465146e-02	-5.004432e-02	-3.438659e-01	-2.781860e-01	-2.799898e-01	-1.475587e-01	-3.146095e-01	-7.807052e-02	1.485604e-01	6.316937e-02	6.153500e-02	6.479688e-02	-1.888108e-02	7.566449e-03	-4.368712e-02	1.373558e-02	9.767750e-03	-5.393522e-03	-5.233163e-03	-5.302753e-02	-7.324233e-02	-1.110915e-02	6.280373e-02	4.628661e-02	0.044977	-7.165623e-02	-4.966723e-03	-1.984221e-03	-6.397966e-02	-2.231980e-02	-5.596211e-02	3.345450e-02	-3.505471e-02	-4.460733e-02	-4.422859e-02	1.322508e-02	8.686199e-02	0.028295	0.028860	2.360273e-02	-2.921394e-02	-2.448183e-02	6.120857e-03	-6.080352e-03	-5.067580e-02	-3.910746e-02	-2.440021e-02	6.912558e-02	-2.715921e-02	5.578588e-03	-2.118528e-01	-2.224623e-01	-2.384373e-01	-2.184277e-01	-3.022120e-01	-2.631365e-01	-2.707480e-01	-2.153736e-01	-1.760118e-01	-1.627059e-01	-1.830583e-01	-1.799883e-01	-2.016256e-01	-1.280146e-01	-2.260078e-01	-2.348689e-01	-2.245971e-01	-2.366477e-01	-3.068148e-01	-2.971659e-01	-2.914814e-01	-2.304349e-01	-1.945319e-01	-1.870897e-01	-2.675039e-01	-1.950759e-01	-1.878977e-01	-2.021023e-01	-2.497433e-01	-2.077629e-01	-2.362215e-01	-2.700807e-01	-3.108319e-01	-2.955951e-01	-2.975696e-01	-2.791759e-01	-2.212797e-01	-1.975992e-01	-2.436865e-01	-1.889706e-01	-1.744616e-01	-2.050838e-01	2.179094e-01	-1.014682e-01	-1.115651e-01	-0.121835	-1.794363e-01	-1.555953e-01	-2.157990e-01	-1.874099e-01	-1.839139e-01	-1.612846e-01	-1.997141e-01	1.131236e-01	0.123252	1.243737e-01	1.909704e-01	1.879585e-01	1.990531e-01	1.355142e-01	1.334097e-01	2.095858e-01	1.615959e-01	-1.525340e-01	-1.543479e-01	-1.653668e-01	-1.379168e-01	-1.701711e-01	-1.937690e-01	-1.824026e-01	-1.194589e-01	-1.276693e-01	-6.276237e-02	-1.237710e-01	-1.427930e-01	-0.124292	-2.029054e-01	-1.944811e-01	-2.143932e-01	-1.639200e-01	-1.402708e-01	-2.241806e-01	-1.688091e-01	-1.537171e-01	-1.651003e-01	-1.924102e-01	-2.281482e-01	-1.973194e-01	-2.155878e-01	-1.479724e-01	-1.396084e-01	-2.288346e-01	-1.627546e-01	2.096673e-01	2.136403e-01	2.146588e-01	2.154213e-01	2.087686e-01	2.092377e-01	0.208754	2.081542e-01	2.076974e-01	2.069792e-01	8.365862e-02	7.531920e-02	7.840640e-02	7.268026e-02	6.023404e-02	5.835627e-02	5.182632e-02	4.693395e-02	4.682404e-02	4.606533e-02	-2.104224e-01	-2.300858e-01	-2.251026e-01	-2.232378e-01	-2.146430e-01	-2.108387e-01	-2.058619e-01	-2.011183e-01	-2.008095e-01	-1.992670e-01	-2.162561e-01	-2.276152e-01	-2.141919e-01	-2.188013e-01	-2.199131e-01	-2.204199e-01	-2.118286e-01	-2.115084e-01	-2.048062e-01	-2.012150e-01	2.300396e-01	-1.538527e-01	-1.748220e-01	-1.885333e-01	-2.361893e-01	-2.192779e-01	-2.354050e-01	-1.995627e-01	-1.954718e-01	-2.082358e-01	-1.798657e-01	-2.411040e-01	-3.095267e-01	-2.313296e-01	-1.126151e-02	3.436887e-02	0.101422	6.552646e-02	1.349301e-01	...	0.030155	7.831218e-03	-4.251307e-02	-1.868161e-02	2.903682e-02	-0.031411	-6.154600e-03	-1.670207e-02	3.495206e-02	-2.029850e-02	-1.029147e-02	3.257849e-02	-2.890581e-02	-1.031962e-01	4.112801e-02	0.024900	-6.205639e-02	2.016223e-02	7.651159e-02	-2.675691e-02	4.014485e-02	-8.435263e-02	1.229729e-02	-1.836379e-02	4.038757e-02	3.618562e-02	-2.075019e-02	-2.748530e-02	2.860522e-03	-1.003157e-02	-6.513529e-03	-3.194268e-02	3.785391e-01	5.152425e-02	-2.054598e-03	2.321740e-02	-2.390409e-02	-3.815147e-02	-2.102609e-02	4.835084e-02	6.679205e-03	-7.979387e-03	8.078513e-03	-8.192860e-03	-1.580424e-02	1.061779e-02	-4.504207e-04	-1.728555e-04	-0.054658	8.766399e-03	3.162322e-02	3.146907e-02	-1.437259e-02	-5.257947e-03	1.013794e-02	-4.580010e-03	1.223896e-02	4.418003e-02	1.720860e-02	-2.877360e-02	3.339121e-02	1.123929e-03	-1.314151e-02	2.384505e-02	8.501417e-03	2.903472e-02	8.858126e-02	1.502728e-02	4.258039e-01	-3.190919e-01	-3.084411e-01	-2.972525e-01	-2.992696e-01	-2.902975e-01	-2.830229e-01	-2.320890e-01	-2.618082e-01	-2.725183e-01	-2.931677e-01	-3.131565e-01	-3.675029e-01	-3.025645e-01	-2.450905e-01	-2.166975e-01	-2.411672e-01	-1.403118e-01	-1.458104e-01	-2.106205e-01	-1.203857e-01	-2.084215e-01	-1.938419e-01	-1.931271e-01	-3.238640e-01	-3.042812e-01	-3.373408e-01	-4.246313e-01	-3.671178e-01	-2.247919e-01	-2.618763e-01	-3.404069e-01	-0.281623	-2.564803e-01	-3.494049e-01	-3.838982e-01	-4.437013e-01	3.187581e-01	2.734405e-01	2.499036e-01	2.357861e-01	2.534687e-01	2.334751e-01	2.518026e-01	1.669335e-01	1.878714e-01	2.459826e-01	2.663369e-01	2.786314e-01	2.484531e-01	1.571024e-01	1.244588e-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75%	188.250000	1.000000	5.199889e-01	7.827394e-01	7.090777e-01	6.075222e-01	6.093552e-01	6.393980e-01	-2.907037e-01	7.441909e-02	6.947578e-02	4.589201e-02	5.578371e-02	0.046707	4.206345e-01	4.968519e-01	4.600742e-01	4.361411e-01	4.719811e-01	4.601519e-01	4.900225e-01	-1.058609e-01	7.205483e-01	6.798062e-01	6.619343e-01	6.728089e-01	6.672314e-01	6.267337e-01	6.852867e-01	7.476272e-01	6.754644e-02	6.084277e-03	-2.386058e-02	7.750551e-02	6.465514e-01	4.343391e-01	0.125687	3.109339e-01	3.747821e-01	2.110680e-01	6.222548e-01	4.115574e-01	5.568308e-01	5.185718e-02	1.045607e-01	3.765886e-02	1.786599e-01	1.071109e-01	7.223835e-01	6.412018e-01	-5.561363e-02	2.487156e-01	3.606591e-01	6.503615e-01	1.874439e-01	6.426438e-01	7.037102e-01	6.933862e-01	6.530168e-01	7.704023e-01	6.873411e-01	6.749726e-01	6.452131e-01	6.653457e-01	6.860340e-01	6.389556e-01	7.304359e-01	5.851718e-01	6.301951e-01	6.579964e-01	3.390575e-01	4.128455e-01	0.551122	5.484753e-01	5.655340e-01	6.392880e-01	6.053307e-01	5.396770e-01	5.840407e-01	5.717998e-01	5.943123e-01	5.932560e-01	6.121192e-01	5.632399e-01	3.549787e-01	0.449958	0.507611	5.132902e-01	5.328692e-01	5.200221e-01	5.949120e-01	5.556008e-01	5.381346e-01	5.993841e-01	6.116001e-01	5.477522e-01	5.907633e-01	6.165987e-01	1.239975e-01	1.164066e-01	2.536021e-01	4.966854e-01	4.841376e-01	5.688266e-01	5.498459e-01	5.245708e-01	5.843182e-01	5.436608e-01	5.904212e-01	5.896635e-01	5.969460e-01	5.682498e-01	2.567068e-01	2.108993e-01	2.896146e-01	5.139230e-01	4.036052e-01	5.517367e-01	4.551008e-01	5.524708e-01	4.732803e-01	5.782910e-01	5.948594e-01	5.230749e-01	5.988207e-01	5.471504e-01	3.505505e-01	2.930560e-01	3.107651e-01	4.500568e-01	3.189019e-01	4.365210e-01	3.941927e-01	5.787016e-01	5.344979e-01	5.854540e-01	5.734011e-01	5.098625e-01	5.452727e-01	5.536846e-01	2.207342e-01	-1.014267e-01	-1.113266e-01	-0.120261	-1.747572e-01	-1.501138e-01	-2.085621e-01	-1.808755e-01	-1.744561e-01	-1.497355e-01	-1.849402e-01	1.131271e-01	0.123258	1.244748e-01	1.917119e-01	1.887854e-01	1.999970e-01	1.359436e-01	1.340804e-01	2.115199e-01	1.635475e-01	3.673647e-01	3.771601e-01	3.746934e-01	4.040747e-01	4.229517e-01	3.888982e-01	4.687946e-01	4.821857e-01	5.695502e-01	5.770607e-01	-1.236758e-01	-1.421017e-01	-0.122563	-1.956451e-01	-1.851675e-01	-2.033384e-01	-1.566799e-01	-1.338058e-01	-1.987073e-01	-1.514787e-01	-1.536111e-01	-1.644985e-01	-1.900702e-01	-2.215663e-01	-1.882583e-01	-2.056708e-01	-1.420733e-01	-1.329345e-01	-2.055860e-01	-1.473155e-01	6.618906e-01	6.657001e-01	6.692134e-01	6.690303e-01	6.752091e-01	6.773443e-01	0.680327	6.824552e-01	6.827259e-01	6.826680e-01	5.901952e-01	6.010718e-01	6.281603e-01	6.614311e-01	6.877766e-01	6.948843e-01	7.000158e-01	6.905180e-01	6.905203e-01	6.900649e-01	2.180249e-01	3.451445e-01	3.975540e-01	4.425299e-01	4.321182e-01	4.232937e-01	4.312002e-01	4.217254e-01	4.226221e-01	4.279232e-01	2.586256e-01	3.468904e-01	3.695113e-01	4.381804e-01	4.378632e-01	4.283184e-01	4.125836e-01	4.205203e-01	4.240837e-01	4.251400e-01	2.367647e-01	-1.537639e-01	-1.743038e-01	-1.860648e-01	-2.305639e-01	-2.128108e-01	-2.302835e-01	-1.946332e-01	-1.889390e-01	-1.958637e-01	-1.693455e-01	-2.395267e-01	-3.018817e-01	-2.051874e-01	1.868599e-02	5.374178e-02	0.110829	7.133271e-02	1.379155e-01	...	0.261434	1.476545e-01	3.014077e-01	2.869743e-01	1.719636e-01	0.330712	2.477310e-01	2.353983e-01	1.487028e-01	1.086356e-01	2.387815e-01	2.529769e-01	1.136526e-01	1.031694e-01	1.969247e-01	0.282055	1.765997e-01	1.926355e-01	1.943034e-01	1.023150e-01	1.336023e-01	8.889254e-02	6.213094e-02	4.417444e-02	5.982580e-02	6.923637e-02	1.983170e-02	1.098410e-01	1.184594e-01	9.713841e-02	7.491242e-02	3.626781e-02	6.349588e-01	3.851816e-01	3.121509e-01	3.091130e-01	3.317299e-01	1.861415e-01	3.203285e-01	3.337541e-01	3.206174e-01	4.009502e-01	3.485005e-01	2.845274e-01	2.198273e-01	3.513364e-01	3.929479e-01	3.214870e-01	0.234056	4.038390e-01	4.083142e-01	3.547802e-01	3.398438e-01	3.587567e-01	3.987527e-01	3.507863e-01	2.854325e-01	3.055808e-01	2.186142e-01	7.918311e-02	9.779564e-02	1.157225e-01	1.524483e-01	2.232504e-01	1.416729e-01	9.037233e-02	2.118767e-01	1.716256e-01	6.727104e-01	2.623617e-01	2.527368e-01	2.849911e-01	2.821365e-01	2.935181e-01	3.319996e-01	4.655910e-01	4.438625e-01	6.009489e-01	5.237418e-01	2.518370e-01	2.584549e-01	3.612736e-01	5.290884e-01	6.863595e-01	6.863023e-01	7.215339e-01	5.963098e-01	5.750962e-01	5.572447e-01	5.100597e-01	4.873867e-01	3.924525e-01	4.217398e-01	5.159009e-01	4.117167e-01	1.988733e-01	-1.150156e-01	-1.100466e-01	-1.379221e-02	6.210370e-02	0.029333	2.599023e-02	4.991022e-02	7.213092e-02	1.949876e-01	6.992258e-01	6.771368e-01	6.587990e-01	6.809839e-01	6.118722e-01	5.988404e-01	7.709570e-01	7.878958e-01	8.210034e-01	7.854028e-01	7.241952e-01	7.175374e-01	7.443092e-01	8.091131e-01	8.599448e-01	8.446860e-01	8.034419e-01	8.072389e-01	7.258292e-01	7.246118e-01	7.448310e-01	7.086248e-01	6.736025e-01	6.767555e-01	7.450066e-01	7.422004e-01	5.879931e-01	0.487905	4.211841e-01	4.982702e-01	5.438759e-01	4.625239e-01	4.582915e-01	5.160473e-01	5.212316e-01	5.342847e-01	4.664719e-01	4.169285e-01	3.983066e-01	3.885239e-01	3.367829e-01	3.841940e-01	5.745817e-01	0.531885	5.800899e-01	5.358944e-01	4.378034e-01	3.820554e-01	4.999538e-01	6.613005e-01	7.352779e-01	7.270797e-01	7.471787e-01	6.673373e-01	6.390768e-01	5.411857e-01	5.055682e-01	4.727137e-01	3.749653e-01	4.345569e-01	5.189105e-01	4.143926e-01	2.021822e-01	3.465345e-02	3.244002e-02	1.136494e-01	1.388511e-01	1.317536e-01	4.103983e-02	2.438259e-02	4.323704e-02	1.483566e-01	2.056930e-02	3.651922e-03	-2.739509e-02	5.896739e-03	4.808086e-03	6.027618e-03	0.050061	2.223501e-02	0.073316	8.974818e-02	1.427612e-01	1.534175e-02	4.154978e-02	1.790939e-01	1.998574e-01	4.376372e-02	4.825744e-02	2.551320e-02	1.605390e-01	4.720716e-02	7.394822e-02	2.679307e-02	0.045485	3.757704e-02	0.043226	-2.099306e-02	2.836594e-02	9.418877e-02	1.277362e-01	3.579948e-02	0.175852	0.126741	1.721183e-01	2.865159e-01	3.014413e-01	2.333955e-01	-2.291675e-01	-2.304923e-01	-2.316673e-01	-2.353586e-01	-0.237221	-1.931515e-01	-1.299659e-01	-1.007763e-01	-0.071872	-7.532203e-02	-1.186184e-01	-1.036689e-01	-1.157185e-02	6.563916e-02	1.299397e-01	2.316486e-01	1.851917e-01	1.748217e-01	1.945615e-01	2.869100e-01	2.586273e-01	2.849716e-01	1.016209e-01	-6.366724e-02	-1.438536e-01	-2.808989e-01	-2.034929e-01	6.444291e-02	2.142590e-01	1.314211e-01	-3.412235e-02	-7.550775e-02	-1.064822e-02	4.530335e-01	5.365224e-01	8.660051e-01	1.000000
max	251.000000	1.000000	9.532304e-01	2.183453e+00	2.780599e+00	5.876167e+00	5.858217e+00	3.616665e+00	4.259739e+00	9.674871e+00	1.046865e+01	1.065043e+01	1.023490e+01	10.650727	4.271371e+00	3.940669e+00	4.298323e+00	5.828667e+00	6.545056e+00	4.298493e+00	5.908999e-01	6.794493e+00	2.571046e+00	1.476557e+00	1.579288e+00	1.581552e+00	2.729366e+00	4.074123e+00	2.321857e+00	2.687828e+00	1.476178e+01	8.808646e+00	7.396143e+00	8.047278e+00	6.465514e-01	5.204274e+00	4.526884	1.101829e+01	1.085683e+01	1.535628e+01	3.129254e+00	9.913445e+00	4.911860e+00	1.140618e+01	1.219973e+01	1.177228e+01	6.991352e+00	9.741883e+00	2.357932e+00	4.140490e+00	8.403600e+00	5.942738e+00	6.271709e+00	5.196013e+00	8.377509e+00	4.205139e+00	1.926146e+00	2.813580e+00	3.217639e+00	2.698767e+00	2.937898e+00	3.178203e+00	3.823224e+00	3.009221e+00	3.930087e+00	2.996085e+00	2.560330e+00	3.207902e+00	4.116157e+00	2.824016e+00	1.018369e+01	9.995021e+00	6.002750	5.074944e+00	4.094588e+00	6.529052e+00	3.812976e+00	9.766850e+00	4.984571e+00	4.073451e+00	6.268050e+00	7.301752e+00	4.270367e+00	4.787305e+00	3.176332e+00	4.883729	4.970677	6.344986e+00	4.352181e+00	5.751510e+00	4.073437e+00	7.124646e+00	9.630540e+00	3.789214e+00	3.760308e+00	4.518565e+00	4.131794e+00	4.212401e+00	1.217601e+01	1.087868e+01	5.815372e+00	4.106890e+00	3.415991e+00	4.284723e+00	6.218142e+00	9.650070e+00	4.672178e+00	5.233845e+00	5.155851e+00	4.094865e+00	5.769086e+00	4.464811e+00	9.812636e+00	8.195686e+00	6.130796e+00	6.045899e+00	4.549485e+00	4.425635e+00	5.977212e+00	4.877276e+00	5.301272e+00	3.738998e+00	3.925432e+00	3.617139e+00	4.285379e+00	3.631350e+00	6.886728e+00	5.438746e+00	6.019099e+00	6.624469e+00	4.271759e+00	4.339082e+00	4.836055e+00	4.530665e+00	5.241063e+00	3.328993e+00	3.496338e+00	3.280664e+00	4.226261e+00	3.890516e+00	2.223036e-01	1.919040e+01	1.828688e+01	24.120739	1.825025e+01	1.566414e+01	1.373636e+01	1.858991e+01	1.321092e+01	2.202102e+01	1.103760e+01	1.131476e-01	0.123267	1.245066e-01	1.919915e-01	1.891819e-01	2.003716e-01	1.361161e-01	1.343044e-01	2.119552e-01	1.639597e-01	5.230622e+00	5.512491e+00	5.493555e+00	4.283031e+00	4.015771e+00	4.072923e+00	3.553482e+00	3.616239e+00	3.333644e+00	2.880718e+00	1.740177e+01	2.130543e+01	24.764633	1.924813e+01	1.666114e+01	1.234808e+01	2.024034e+01	2.141820e+01	1.463124e+01	1.588774e+01	1.781082e+01	1.836533e+01	1.802083e+01	1.744623e+01	1.794272e+01	1.512253e+01	2.044726e+01	2.122703e+01	1.160587e+01	1.629479e+01	1.292051e+00	1.297461e+00	1.297582e+00	1.304788e+00	1.307906e+00	1.312577e+00	1.314515	1.329327e+00	1.332109e+00	1.337836e+00	2.955678e+00	3.025028e+00	3.156487e+00	3.361382e+00	3.533585e+00	3.595228e+00	3.599136e+00	3.609663e+00	3.610216e+00	3.611576e+00	1.729143e+01	9.330183e+00	8.152467e+00	7.854522e+00	8.102761e+00	8.277520e+00	8.336664e+00	8.573164e+00	8.572854e+00	8.686621e+00	1.190746e+01	9.803351e+00	1.126424e+01	7.693662e+00	7.804807e+00	7.814430e+00	9.412895e+00	8.307819e+00	8.993771e+00	8.715589e+00	2.367647e-01	1.694761e+01	1.853857e+01	2.115562e+01	1.182654e+01	1.714296e+01	1.273285e+01	1.849157e+01	1.654078e+01	1.433311e+01	1.612350e+01	1.243844e+01	1.044140e+01	5.400953e+00	2.201343e+00	9.999016e-01	0.597005	3.061742e-01	1.676776e-01	...	8.866640	6.149087e+00	7.516680e+00	7.620454e+00	4.883328e+00	7.501552	5.995694e+00	5.817866e+00	8.209057e+00	7.122809e+00	6.323835e+00	5.401225e+00	6.251372e+00	1.287424e+01	6.929373e+00	4.715551	8.641966e+00	9.251115e+00	6.164635e+00	1.003335e+01	6.446794e+00	7.230630e+00	5.671736e+00	5.671369e+00	1.033396e+01	4.211156e+00	1.728028e+01	1.206372e+01	6.742188e+00	9.501409e+00	1.222318e+01	1.401457e+01	4.788474e+00	5.398157e+00	7.501940e+00	3.901522e+00	7.846588e+00	9.224017e+00	8.244040e+00	5.199979e+00	6.421131e+00	5.221020e+00	5.046516e+00	5.078743e+00	9.636133e+00	5.872087e+00	4.509641e+00	4.515540e+00	11.599627	3.999169e+00	5.609059e+00	8.254708e+00	6.954875e+00	5.395971e+00	4.960658e+00	6.691266e+00	4.524113e+00	4.780221e+00	6.317330e+00	8.365068e+00	6.784725e+00	1.774155e+01	1.057408e+01	8.171153e+00	6.846858e+00	4.892877e+00	5.837438e+00	5.161361e+00	4.930098e+00	6.298825e+00	6.221575e+00	8.452494e+00	9.259093e+00	1.014958e+01	1.176962e+01	9.677953e+00	8.782601e+00	4.702626e+00	5.719137e+00	5.893312e+00	8.755445e+00	8.252952e+00	4.903392e+00	3.980163e+00	3.761566e+00	4.415107e+00	4.313335e+00	5.357733e+00	5.837377e+00	6.916904e+00	5.267815e+00	5.273369e+00	5.390048e+00	3.997296e+00	4.608102e+00	6.560872e+00	8.428165e+00	1.576739e+01	1.569974e+01	1.355104e+01	20.109584	1.950296e+01	9.930567e+00	8.316857e+00	8.284889e+00	1.113962e+00	1.132630e+00	1.113389e+00	1.058390e+00	9.725829e-01	9.361597e-01	1.230788e+00	1.270128e+00	1.302586e+00	1.275491e+00	1.195827e+00	1.174133e+00	1.219741e+00	1.389264e+00	1.471518e+00	1.521012e+00	1.636254e+00	1.651230e+00	1.562476e+00	1.567391e+00	1.526752e+00	1.508872e+00	1.325664e+00	1.217251e+00	1.165245e+00	1.015967e+00	7.293676e-01	0.610275	5.598867e-01	6.974352e-01	7.442011e-01	6.189307e-01	5.899645e-01	6.302324e-01	6.165518e-01	6.183483e-01	4.408798e+00	7.086973e+00	7.920852e+00	8.705702e+00	1.108429e+01	1.349879e+01	8.233787e+00	8.435399	4.813826e+00	5.355225e+00	5.156501e+00	5.705233e+00	6.088928e+00	3.749417e+00	3.786073e+00	4.441439e+00	5.013204e+00	3.878560e+00	4.586958e+00	7.784314e+00	5.733749e+00	6.045451e+00	7.166991e+00	5.192020e+00	3.805066e+00	4.292722e+00	6.361852e+00	8.620897e+00	1.416885e+01	1.503512e+01	1.088529e+01	1.683112e+01	1.665822e+01	8.519882e+00	8.161791e+00	8.770184e+00	6.676792e+00	7.351423e+00	2.234013e+01	8.207517e+00	2.343324e+01	1.190151e+01	7.663797	2.126832e+01	10.092639	5.991987e+00	5.175751e+00	1.408162e+01	9.454969e+00	1.498544e+01	8.066416e+00	5.828973e+00	1.089477e+01	1.153038e+01	6.242888e+00	3.772008e+00	7.016286e+00	9.674621e+00	12.996211	2.696701e+00	11.128145	1.561528e+01	4.550817e+00	3.797695e+00	3.806105e+00	8.225420e+00	3.946313	3.712681	3.373332e+00	2.856284e+00	2.447626e+00	2.467867e+00	8.096677e+00	7.415644e+00	7.223287e+00	7.110503e+00	7.067843	8.077887e+00	1.359684e+01	2.104141e+01	21.892656	2.148404e+01	1.720099e+01	1.381578e+01	1.799064e+01	2.399740e+01	1.839530e+01	1.656452e+01	1.820728e+01	1.855637e+01	1.645478e+01	1.644003e+01	1.352978e+01	1.260913e+01	2.360525e+01	1.935638e+01	1.112618e+01	8.389025e+00	7.651276e+00	5.057983e+00	5.531429e+00	4.031528e+00	4.406607e+00	4.124732e+00	3.742389e+00	3.002580e+00	2.964928e+00	3.649985e+00	1.000000

	-gender	-id	Baseline Features-stdDevPeriodPulses	Baseline Features-RPDE	Baseline Features-PPE	Baseline Features-DFA	Intensity Parameters-minIntensity	Formant Frequencies-f1	Formant Frequencies-f3	Bandwidth Parameters-b2	Bandwidth Parameters-b1	Bandwidth Parameters-b4	Bandwidth Parameters-b3	Vocal Fold-GNE_NSR_SEO	Vocal Fold-IMF_SNR_SEO	Vocal Fold-IMF_SNR_TKEO	Vocal Fold-GNE_SNR_TKEO	Vocal Fold-GQ_std_cycle_open	Vocal Fold-VFER_SNR_TKEO	Vocal Fold-GNE_SNR_SEO	Vocal Fold-IMF_NSR_TKEO	Vocal Fold-GNE_mean	Vocal Fold-GQ_prc5_95	Vocal Fold-IMF_NSR_SEO	Vocal Fold-VFER_SNR_SEO	MFCC -mean_delta_log_energy	MFCC -mean_MFCC_7th_coef	MFCC -mean_7th_delta	MFCC -mean_MFCC_5th_coef	MFCC -mean_MFCC_0th_coef	MFCC -mean_5th_delta	MFCC -mean_4th_delta	MFCC -mean_MFCC_6th_coef	MFCC -mean_8th_delta_delta	MFCC -mean_MFCC_10th_coef	MFCC -mean_9th_delta_delta	MFCC -mean_8th_delta	MFCC -mean_5th_delta_delta	MFCC -mean_3rd_delta_delta	MFCC -mean_6th_delta	MFCC -mean_10th_delta_delta	MFCC -mean_4th_delta_delta	MFCC -mean_MFCC_4th_coef	MFCC -mean_12th_delta	MFCC -mean_11th_delta	MFCC -mean_1st_delta	MFCC -mean_1st_delta_delta	MFCC -mean_MFCC_9th_coef	MFCC -mean_MFCC_12th_coef	MFCC -mean_7th_delta_delta	MFCC -mean_10th_delta	MFCC -mean_6th_delta_delta	MFCC -mean_Log_energy	MFCC -mean_9th_delta	MFCC -mean_delta_delta_log_energy	MFCC -mean_MFCC_2nd_coef	MFCC -mean_MFCC_8th_coef	MFCC -mean_2nd_delta	MFCC -mean_11th_delta_delta	MFCC -mean_MFCC_11th_coef	MFCC -mean_MFCC_3rd_coef	MFCC -mean_12th_delta_delta	MFCC -mean_2nd_delta_delta	MFCC -std_MFCC_2nd_coef	MFCC -mean_3rd_delta	Wavelet Features-Ea	Wavelet Features-det_entropy_log_1_coef	Wavelet Features-app_entropy_shannon_1_coef	TQWT Features-tqwt_skewnessValue_dec_14	TQWT Features-tqwt_skewnessValue_dec_15	TQWT Features-tqwt_medianValue_dec_35	TQWT Features-tqwt_meanValue_dec_5	TQWT Features-tqwt_medianValue_dec_25	TQWT Features-tqwt_energy_dec_26	TQWT Features-tqwt_meanValue_dec_12	TQWT Features-tqwt_skewnessValue_dec_30	TQWT Features-tqwt_meanValue_dec_6	TQWT Features-tqwt_meanValue_dec_16	TQWT Features-tqwt_entropy_log_dec_1	TQWT Features-tqwt_energy_dec_1	TQWT Features-tqwt_meanValue_dec_23	TQWT Features-tqwt_skewnessValue_dec_26	TQWT Features-tqwt_kurtosisValue_dec_23	TQWT Features-tqwt_medianValue_dec_11	TQWT Features-tqwt_skewnessValue_dec_16	TQWT Features-tqwt_medianValue_dec_23	TQWT Features-tqwt_skewnessValue_dec_1	TQWT Features-tqwt_medianValue_dec_33	TQWT Features-tqwt_skewnessValue_dec_18	TQWT Features-tqwt_kurtosisValue_dec_8	TQWT Features-tqwt_meanValue_dec_18	TQWT Features-tqwt_meanValue_dec_11	TQWT Features-tqwt_skewnessValue_dec_25	TQWT Features-tqwt_meanValue_dec_9	TQWT Features-tqwt_meanValue_dec_22	TQWT Features-tqwt_kurtosisValue_dec_25	TQWT Features-tqwt_medianValue_dec_17	TQWT Features-tqwt_medianValue_dec_8	TQWT Features-tqwt_meanValue_dec_20	TQWT Features-tqwt_skewnessValue_dec_21	TQWT Features-tqwt_meanValue_dec_8	TQWT Features-tqwt_skewnessValue_dec_12	TQWT Features-tqwt_medianValue_dec_21	TQWT Features-tqwt_entropy_shannon_dec_23	TQWT Features-tqwt_meanValue_dec_31	TQWT Features-tqwt_meanValue_dec_3	TQWT Features-tqwt_meanValue_dec_1	TQWT Features-tqwt_meanValue_dec_28	TQWT Features-tqwt_medianValue_dec_20	TQWT Features-tqwt_medianValue_dec_2	TQWT Features-tqwt_meanValue_dec_25	TQWT Features-tqwt_meanValue_dec_17	TQWT Features-tqwt_medianValue_dec_18	TQWT Features-tqwt_energy_dec_23	TQWT Features-tqwt_meanValue_dec_7	TQWT Features-tqwt_skewnessValue_dec_3	TQWT Features-tqwt_medianValue_dec_10	TQWT Features-tqwt_medianValue_dec_14	TQWT Features-tqwt_entropy_shannon_dec_26	TQWT Features-tqwt_meanValue_dec_24	TQWT Features-tqwt_meanValue_dec_15	TQWT Features-tqwt_medianValue_dec_24	TQWT Features-tqwt_medianValue_dec_32	TQWT Features-tqwt_skewnessValue_dec_27	TQWT Features-tqwt_medianValue_dec_28	TQWT Features-tqwt_entropy_shannon_dec_1	TQWT Features-tqwt_medianValue_dec_26	TQWT Features-tqwt_medianValue_dec_22	TQWT Features-tqwt_entropy_shannon_dec_36	TQWT Features-tqwt_meanValue_dec_13	TQWT Features-tqwt_medianValue_dec_29	TQWT Features-tqwt_skewnessValue_dec_23	TQWT Features-tqwt_skewnessValue_dec_24	TQWT Features-tqwt_medianValue_dec_36	TQWT Features-tqwt_energy_dec_31	TQWT Features-tqwt_skewnessValue_dec_17	TQWT Features-tqwt_medianValue_dec_1	TQWT Features-tqwt_meanValue_dec_32	TQWT Features-tqwt_meanValue_dec_14	TQWT Features-tqwt_kurtosisValue_dec_12	TQWT Features-tqwt_meanValue_dec_2	TQWT Features-tqwt_medianValue_dec_5	TQWT Features-tqwt_meanValue_dec_10	TQWT Features-tqwt_meanValue_dec_35	TQWT Features-tqwt_medianValue_dec_31	TQWT Features-tqwt_medianValue_dec_13	TQWT Features-tqwt_medianValue_dec_7	TQWT Features-tqwt_medianValue_dec_27	TQWT Features-tqwt_entropy_shannon_dec_25	TQWT Features-tqwt_medianValue_dec_15	TQWT Features-tqwt_medianValue_dec_12	TQWT Features-tqwt_meanValue_dec_26	TQWT Features-tqwt_meanValue_dec_29	TQWT Features-tqwt_meanValue_dec_21	TQWT Features-tqwt_skewnessValue_dec_19	TQWT Features-tqwt_medianValue_dec_4	TQWT Features-tqwt_meanValue_dec_4	TQWT Features-tqwt_medianValue_dec_3	TQWT Features-tqwt_entropy_shannon_dec_31	TQWT Features-tqwt_medianValue_dec_6	TQWT Features-tqwt_medianValue_dec_19	TQWT Features-tqwt_medianValue_dec_16	TQWT Features-tqwt_entropy_shannon_dec_24	TQWT Features-tqwt_medianValue_dec_34	TQWT Features-tqwt_meanValue_dec_19	TQWT Features-tqwt_skewnessValue_dec_8	TQWT Features-tqwt_skewnessValue_dec_13	TQWT Features-tqwt_meanValue_dec_27	TQWT Features-tqwt_skewnessValue_dec_20	TQWT Features-tqwt_medianValue_dec_9	TQWT Features-tqwt_skewnessValue_dec_22	class
0	1	0	-0.406982	0.605434	0.627229	0.255975	-0.093823	-0.799003	-0.293055	-0.475482	-0.365732	-0.167031	-0.373314	-0.132519	-0.064940	1.581718	-1.027317	-0.660592	0.832624	-1.101694	-0.631131	0.229475	-0.856698	0.917362	0.757692	0.060249	0.355723	1.772607	-0.792140	-1.557968	-0.927779	-0.311436	-0.391801	1.159733	1.663393	0.063720	0.056876	0.956759	0.326596	0.195401	-1.014220	-0.702625	1.561630	-0.581490	0.990140	-0.540262	-0.631241	-0.007689	-0.904338	-0.801532	0.876369	-0.159629	-1.200023	-1.866714	-0.345813	0.734690	0.252535	-0.241710	-0.260902	0.524088	-0.105779	0.109283	2.506997	1.791888	0.230229	0.221048	-0.818798	0.853208	-0.119010	0.259204	-0.051890	-0.080966	-0.084353	-0.043831	-0.035035	-0.001064	-0.229496	-0.049849	-0.652584	-0.176780	-1.080050	-0.021522	-0.113192	-0.316886	-0.015908	-0.026757	0.059629	-0.087215	-0.006004	-0.106782	-0.000542	-0.207832	0.042828	0.333811	-0.986481	-0.150644	-0.103196	0.029037	0.008421	0.054049	0.033426	-0.002266	0.020162	0.839439	0.023845	0.037359	-0.381527	-0.790968	-0.062056	0.022412	0.137222	0.224582	0.041128	1.266416	0.046224	-0.049191	-0.011723	0.512869	0.351425	-0.235925	-0.041950	0.040145	-0.033521	-0.003832	4.370905	-0.465378	0.012297	0.076512	-0.368425	0.019009	0.102082	-0.010385	0.036010	-1.132034	-0.210176	0.025408	0.245021	0.083204	0.300676	-0.049720	-0.654917	0.007831	-0.348996	0.050936	0.043585	-0.020298	-0.037286	-1.283663	-0.098526	0.033772	0.034952	-0.352678	-0.009328	-0.050961	0.025652	0.068192	-0.123260	0.016288	-0.430255	0.021280	-0.055508	-0.028906	0.137311	-0.110823	-0.627536	-0.020104	-0.018268	0.729509	0.010648	0.120138	-0.012561	1
1	1	0	-0.425810	0.368171	0.121539	-0.080380	-0.385257	-0.613605	-0.454749	-0.468062	-0.504592	-0.438043	-0.382405	0.808315	-0.284860	2.023104	-0.290060	-0.593031	1.093557	-0.807617	-0.593164	-0.200698	-0.621828	0.915624	0.482782	-0.091195	0.086087	-0.240418	-0.514336	-1.242649	0.478627	-0.275763	-0.583557	-0.238154	1.662677	0.694659	1.025082	-0.620102	-2.587908	-0.251996	0.778121	0.274939	1.486414	1.001390	0.567366	-0.398781	1.724931	0.167903	-0.459693	-0.270006	-1.170300	-1.437247	-0.415208	-0.268806	1.196445	0.981596	0.385242	0.381999	2.119947	0.632015	-0.408143	-0.342617	-1.318202	1.092727	-0.391392	0.221676	-0.731801	0.886703	0.195495	0.015889	-0.025019	-0.038151	-0.084353	-0.212148	-0.291469	-0.001064	0.193967	-0.169880	-0.631007	-0.170655	0.799923	-0.021522	-0.323911	0.168137	-0.015908	-0.026757	-2.682367	-0.045167	-0.006004	0.068130	1.147337	-0.213822	0.042828	0.557610	-0.114129	-0.149357	-0.103196	0.029037	0.003571	0.054049	0.698244	-0.002266	0.020162	0.231757	0.223250	-0.155637	-0.208399	0.887611	-0.062056	-0.104861	0.221003	-0.288608	0.041128	0.525484	-0.384562	-0.049191	0.261182	-0.146577	0.229163	0.020515	0.165627	0.040145	-0.084311	-0.003842	0.393476	-0.457701	0.012297	0.076512	-0.370927	-0.195914	0.054640	-0.010385	0.036010	-1.089307	-0.208074	0.025408	0.043866	-0.042651	0.010863	1.413191	0.989709	0.007831	0.949923	-0.041045	-0.016372	-0.020298	0.059482	-0.954630	-0.147859	-0.123658	0.034952	0.194832	0.082064	0.291398	0.012954	0.085234	2.106111	0.016288	-0.425428	-0.039699	0.028966	-0.028906	0.016562	-0.087512	2.025846	-0.020104	-0.018268	-1.797754	0.010648	0.240998	-0.012561	1
2	1	0	-0.443263	0.733124	0.617541	-0.349607	-0.921953	-0.731561	-0.520189	-0.538714	-0.172572	-0.641573	-0.510546	0.197193	0.001538	4.003505	-0.465205	-0.172396	1.058605	-0.884386	-0.736153	-0.692703	-0.583404	0.314210	0.506729	0.440891	0.732639	-0.941993	-0.887705	-1.572483	-0.257692	0.000542	-0.366273	-0.140563	1.995160	0.752679	0.022045	0.007416	-0.299125	-0.055321	-0.070492	-1.397684	1.351904	-0.273929	-0.012004	0.613065	0.407768	0.082772	-0.860722	-0.945898	0.032044	-1.330928	-1.440611	1.176453	0.894026	1.175062	0.126565	1.287040	-0.540697	1.016646	-0.417364	-0.975658	1.334294	1.507313	-0.358413	0.221990	-0.853407	0.899983	0.206803	-0.162939	0.046892	-0.010182	-0.084353	-0.198032	0.003061	-0.001064	0.195393	-0.191550	-0.592637	-0.168895	0.549069	-0.021522	-0.300517	0.131830	-0.015908	-0.026757	-0.057702	-0.012220	-0.006004	-0.117693	0.912083	-0.004084	0.042828	-0.039654	0.119340	-0.111110	-0.103196	0.029037	-0.166603	0.054049	-0.013747	-0.002266	0.020162	-0.724568	-0.090217	-0.033454	0.211126	1.201241	-0.062056	-0.175702	0.062595	-0.183572	0.041128	-0.188282	-0.276200	-0.049191	-0.048135	0.032118	0.086424	0.219733	0.203883	0.040145	0.002799	-0.003655	-0.329577	-0.463496	0.012297	0.076512	-0.371155	-0.038929	0.058288	-0.010385	0.036010	-1.121043	-0.205315	0.025408	0.150262	0.000010	-0.265562	-0.070051	-0.085315	0.007831	0.232059	0.057081	0.063891	-0.020298	-0.254895	0.390444	-0.195957	0.111296	0.034952	-0.114331	0.186695	0.169094	0.139120	-0.011112	-0.186635	0.016288	-0.427842	0.021971	-0.294906	-0.028906	-0.301974	-0.075865	-1.336359	-0.020104	-0.018268	-0.908455	0.010648	0.090685	-0.012561	1
3	0	1	-0.275134	0.753132	-1.979250	1.381365	0.618448	1.277102	1.504162	-0.233689	0.082429	0.029685	0.048959	0.163592	0.188964	1.276773	0.042250	3.444958	-0.184703	1.094189	-0.790725	-0.736775	0.548328	0.392449	-0.307171	0.113324	0.928165	-0.515913	-0.194769	-0.531938	0.322000	-0.200273	0.627936	-0.680929	-0.282386	1.328221	-0.120513	-1.989069	0.412192	-0.138677	0.320728	1.264427	-0.104788	0.381151	-0.396261	0.415773	-1.438052	-0.306433	0.299058	0.610224	-1.174580	0.376021	0.023381	0.038077	-0.189092	1.103908	1.281433	-0.072779	-0.434380	-0.728989	0.345236	-0.246857	0.157516	0.731011	0.212379	-2.658078	1.110116	0.661862	-0.007043	0.328010	0.403178	-0.801931	0.467421	0.070121	-0.246866	-0.049954	-1.030796	0.079855	0.540534	-0.162840	1.645625	-0.054476	0.017462	-0.431392	0.140448	-0.216791	0.341115	0.880194	0.209373	0.108437	-0.166842	0.661883	0.043117	0.812181	-0.171707	-0.153615	0.336425	-0.016900	0.357904	-0.045151	0.865846	-0.627076	2.118068	1.457848	1.050406	-1.576139	-0.627307	-0.689370	1.083267	-0.031619	2.859817	-0.262229	-0.680238	0.218359	-0.266584	0.330943	-0.215557	0.591502	0.608761	-0.045714	-0.133199	-1.137956	0.418012	-0.048787	0.107501	-0.194436	0.332868	-0.086801	0.454924	1.082992	0.074695	-0.117422	0.066903	0.215615	-0.158587	0.654483	1.292690	0.597670	-2.826245	-0.064166	2.112868	-0.362837	0.030688	-1.048804	0.917431	-0.393708	-0.428017	-0.023640	-4.220440	-0.247703	0.056851	-1.208295	0.499617	0.722679	1.661436	0.521198	-0.637837	0.908943	0.098004	-0.361434	0.102027	-0.035045	-1.352592	-0.170039	-0.041659	-0.538834	2.905440	0.214129	-0.072998	0.594775	-0.937094	1
4	0	1	3.141518	0.299925	-2.471353	1.397143	0.656683	1.479140	1.624873	-0.193530	0.615206	-0.185308	-0.441688	0.308497	0.342543	1.504959	0.119167	2.240122	-0.382812	0.882711	-0.581813	-0.732471	0.500908	1.510557	-0.295263	0.605252	1.022776	-1.186054	-0.224299	-0.077246	0.174254	-0.558904	0.790364	1.564333	-0.471115	-0.889349	-0.227440	1.469403	-0.446134	0.987685	0.537950	-0.449700	-0.259271	-0.640436	-0.309068	-0.236737	1.175197	-0.365373	0.008854	0.593096	-0.518629	-0.952772	0.592865	0.527297	-0.419883	1.009517	1.359972	0.649256	0.409910	-0.939891	0.393287	0.138322	0.650628	-0.192050	-0.275103	-3.879973	1.523564	0.389025	0.222561	-0.148124	-0.170973	0.577175	4.162204	0.177492	-0.278308	-0.053348	0.236028	0.643013	0.494863	-0.165128	0.639925	0.070537	-0.068861	-0.081263	-0.434536	0.101993	0.020534	-0.192763	-0.414820	-0.058609	-0.207403	0.140773	0.042969	-0.337586	1.395529	-0.158481	-0.256182	0.023357	-0.537344	0.320527	-0.363231	0.143193	1.802843	1.442954	-0.204280	-0.335860	-0.213037	0.015501	0.639852	-0.399931	-1.896416	0.308515	-0.069233	0.041151	0.069006	-0.073852	-0.325670	-0.306236	0.582756	-1.272283	-0.829044	-0.702391	-0.363328	0.003313	0.005671	-0.212945	2.596093	2.057928	0.471262	0.438306	-0.077639	0.254617	0.041437	0.212417	-0.169205	-0.374249	-1.051349	-0.102539	-0.719470	-0.148977	0.916459	0.008007	-0.047452	-0.027027	0.223099	-0.507150	-0.297529	0.014947	-4.310307	-0.429116	-0.321913	-0.400242	-0.035470	-1.556033	-0.537330	-0.057430	-0.327851	-0.690073	0.052709	-0.530685	0.128427	0.126433	-1.210257	0.349077	0.721110	-0.513541	1.486680	0.021379	-0.337607	0.217300	0.072690	1